NVIDIA Corporation (NVDA)

Welcome to the club I believe 4retire is right there with us.

Tuesday was a Key Reversal day with low at 191.14 that will now not be seen again imo, also we have a weekly stochastics buy signal with support now at 200

Probably a good move. This is the one and only stock I have never sold a share of and keep adding a little every month.
Been through two splits. Divie increase was helpful and the fact that they plan to put back 50% or more of free cash flow into things like buybacks is another benefit.
Reuben chips and their new CPU's are in production.

finally bottomed this week so I bought 210.47

Nvidia H200 Chips Could Return to China as Beijing Weighs Limited Approval (NVDA)July 9, 2026 6:50 AM
IH Market News Report Suggests China May Permit Limited H200 Chip Sales Nvidia (NASDAQ:NVDA) could regain limited access to the Chinese artificial intelligence market, according to a report from The Information, which said Beijing is considering allowing domestic companies to purchase a restricted number of the chipmaker’s H200 AI processors. The report says Chinese technology groups including Alibaba, ByteDance and DeepSeek have been informed they may be eligible to acquire the chips, provided they disclose both the quantity required and their intended use before receiving approval. Authorities have reportedly not finalized the allocation, although The Information said the total number of H200 chips approved could remain below 200,000 units. That figure would represent only a modest deployment, given that a single large AI data centre can operate with more than 400,000 Blackwell processors. Nvidia Continues to Exclude China Revenue Speaking in May, Nvidia Chief Financial Officer Colette Kress said the company had not generated any revenue from H200 chip sales in China. “We don’t know if imports will be allowed into the country,” she said, explaining that Nvidia had therefore excluded any China-related H200 revenue from its financial guidance. The potential policy shift follows China’s restrictions on Nvidia chip sales, which remained in place despite U.S. President Donald Trump authorising the company to resume certain processor exports last December. AI Demand Challenges Domestic Semiconductor Strategy China has been seeking to reduce dependence on imported semiconductors by strengthening its domestic chip industry while also citing cybersecurity concerns. However, according to sources cited in the report, rapidly growing demand for AI computing capacity is encouraging authorities to reconsider limited imports of Nvidia’s H200 processors. Chinese AI developers, like their counterparts in the United States, continue to face shortages of computing resources needed to train and deploy increasingly advanced AI models. Commenting on U.S. chip export policies, Chinese Embassy spokesperson Liu Chang said: “We advocate that China and the United States can achieve mutual benefits and win-win outcomes through cooperation, and we oppose the politicization, instrumentalization, and militarization of technological and economic issues. We stand ready to work with all parties to jointly safeguard the stability of global industrial and supply chains.” Nvidia Reportedly Invests in Australian Cloud Startup Separately, the Australian Financial Review reported that Nvidia has invested in Australian cloud infrastructure company Firmus Technologies ahead of its planned stock market listing. According to the report, Nvidia contributed approximately A$720 million (around US$500 million) as part of a broader A$2 billion capital raising. The investment was made through preferred shares that will convert into ordinary shares when Firmus completes its initial public offering, making Nvidia the company’s largest shareholder. Following the investment, Firmus is reportedly valued at A$15.5 billion, nearly double its previous valuation. The funding will be used to purchase Nvidia processors for a new data centre in Launceston and to support the company’s wider expansion across Australia. Firmus is expected to seek shareholder approval in July for the capital increase supporting its IPO, along with a proposed 50-for-1 stock split designed to lower the share price ahead of its Sydney Stock Exchange debut. The post Nvidia H200 Chips Could Return to China as Beijing Weighs Limited Approval (NVDA) appeared first on US Editors. Original: Nvidia H200 Chips Could Return to China as Beijing Weighs Limited Approval (NVDA)

Nvidia seems to be learning remember when Blackwell was going to come out and they had all the news I think from the Information That Blackwell is overheating couple years back. Nvidia wouldn’t say anything for a long time said they did not comment to rumors. I think they learned in this day and age you have to protect yourself.

3 Incredible Growth Stocks to Buy Now
https://finance.yahoo.com/markets/stocks/articles/3-incredible-growth-stocks-buy-130500001.html

So many false things reported about NVDA.

Nvidia denies report its next-generation AI server faces delays, says roadmap is intact
Nvidia (NVDA), on Monday, pushed back on a report by SemiAnalysis that the AI chip giant is delaying next-generation Kyber AI server systems by a year until 2028.
SemiAnalysis posted on X that the server has faced "massive delays" because of its design, which created manufacturing challenges.
But an Nvidia spokesperson denied the SemiAnalysis report, telling Yahoo Finance, "Our roadmap remains intact."

Nvidia shares edge lower after report says DeepSeek is developing an in-house AI chip (NVDA)July 7, 2026 9:10 AM
IH Market News Report points to DeepSeek’s custom chip ambitions Nvidia (NASDAQ:NVDA) shares fell 1.6% in premarket trading on Tuesday after a Reuters report said Chinese artificial intelligence startup DeepSeek is designing its own semiconductor for AI computing, a move that could reduce its reliance on hardware supplied by Nvidia and Huawei. According to sources familiar with the project, DeepSeek’s chip is being developed primarily for inference workloads, where trained AI models generate responses to user requests, rather than for training large language models. Focus on inference reflects changing AI demand The report noted that DeepSeek’s effort targets one of the fastest-growing areas of the AI market, as demand increasingly shifts from training models to deploying them in real-world applications. Inference tasks can often be processed using specialised chips that are less expensive and consume less power than traditional graphics processing units (GPUs), making the segment increasingly attractive for AI developers. Development remains at an early stage Reuters reported that DeepSeek has been working on the initiative for around a year and has held discussions with chip design companies, semiconductor foundries and memory suppliers. The company has also quietly expanded its semiconductor engineering team in recent months, recruiting chip designers without advertising vacancies on public job platforms. Strategic move could reshape competition If successful, the project would represent a major strategic shift for DeepSeek, which gained international attention after launching highly efficient AI models that challenged established industry players. The report added that developing an in-house processor would also increase competitive pressure on Huawei while placing DeepSeek alongside a growing number of AI companies seeking to design proprietary chips instead of relying exclusively on Nvidia’s hardware. Technical and regulatory hurdles remain Despite the strategic appeal, developing a competitive AI processor typically requires significant investment and years of engineering work. DeepSeek also faces additional challenges stemming from US export controls, which restrict Chinese companies’ access to leading-edge semiconductor manufacturing facilities and advanced high-bandwidth memory technologies essential for high-performance inference chips. Nvidia stock priceThe post Nvidia shares edge lower after report says DeepSeek is developing an in-house AI chip (NVDA) appeared first on US Editors. Original: Nvidia shares edge lower after report says DeepSeek is developing an in-house AI chip (NVDA)

Certara teams up with Nvidia to strengthen AI platform with BioNeMo toolkit (CERT)July 7, 2026 8:54 AM
IH Market News Partnership expands AI capabilities for drug development Certara, Inc. (NASDAQ:CERT) has announced a collaboration with Nvidia (NASDAQ:NVDA) to integrate the Nvidia BioNeMo Agent Toolkit into its artificial intelligence platform, bringing together Certara’s biosimulation technology, regulatory expertise and proprietary data with advanced agentic AI capabilities. According to the company, the BioNeMo Agent Toolkit will become one of several AI frameworks available within Certara’s platform, complementing its existing biosimulation software and scientific expertise. AI agents to support life sciences workflows The integrated platform is designed to enable AI agents to assist across a broad range of pharmaceutical research and development activities, including dose optimisation, clinical data analysis, patient and trial simulation, ADMET assessment and the preparation of regulatory evidence. Chief Executive Officer Jon Resnick said: “Agentic AI combined with Certara’s world-class scientists, validated models, and data keeps the scientist in the loop while delivering the speed, scale, and reproducibility our clients need to generate integrated evidence for regulators.” Collaboration aims to accelerate pharmaceutical innovation Chief Technology Officer and Chief AI Officer Chris Bouton said the agreement supports the company’s long-term objective of transforming drug development through computational biology. “Our collaboration with Nvidia and addition of the BioNeMo Agent Toolkit to the integrated platform helps accelerate that vision” of computationally simulating human biology to transform drug discovery and development. Supporting thousands of life sciences organisations Certara provides software and scientific services to more than 2,600 biopharmaceutical companies, academic institutions and regulatory agencies worldwide. Headquartered in Radnor, Pennsylvania, the company specialises in model-informed drug development, helping researchers improve efficiency throughout the pharmaceutical development process by combining biosimulation with artificial intelligence. Certara stock price Nvidia stock priceThe post Certara teams up with Nvidia to strengthen AI platform with BioNeMo toolkit (CERT) appeared first on US Editors. Original: Certara teams up with Nvidia to strengthen AI platform with BioNeMo toolkit (CERT)

The Quantum Sector Hits an Inflection Point: Federal Money, Real Milestones, and a Security Race Running in ParallelJuly 6, 2026 8:45 AM
PR Newswire (US) A wave of government funding, hardware progress, and looming encryption deadlines has turned quantum from a lab curiosity into one of the most closely watched corners of the market in 2026, spanning computing hardware and the cybersecurity built to survive it.VANCOUVER, BC, July 6, 2026 /PRNewswire/ -- USA News Group News Commentary, For years, quantum computing lived mostly in research papers and conference keynotes. In 2026 it has become something harder to ignore: a sector with federal capital behind it, a string of technical milestones on the board, and a parallel race to rebuild the world's encryption before quantum machines can break it. The result is one of the most polarizing themes in the market, real scientific progress on one side, valuations that assume a commercial payoff still years away on the other. Below is a look at where the sector stands and a handful of the public companies operating across its very different lanes, from computing hardware to post-quantum security, including QSE - Quantum Secure Encryption Corp. (CSE: QSE) (OTCQB: QSEGF) (FSE: VN8). Key TakeawaysWashington has moved from rhetoric to capital, with the U.S. Department of Commerce announcing roughly $2 billion in quantum funding under the CHIPS and Science Act in May 2026, followed by a pair of executive orders on June 22, 2026 setting hard agency timelines for quantum hardware and cryptographic defense.The pure-play computing names, including IonQ, Rigetti, and D-Wave, pursue fundamentally different architectures, while big-cap programs at IBM and Alphabet carry the frontier with far deeper balance sheets.A separate but related lane, post-quantum security, is racing against fixed regulatory deadlines as organizations prepare to migrate encryption before quantum machines can break it.Names operating across these lanes include QSE - Quantum Secure Encryption Corp. (CSE: QSE), IonQ (NYSE: IONQ), Rigetti Computing (Nasdaq: RGTI), D-Wave Quantum (NYSE: QBTS), and IBM (NYSE: IBM), each distinct, each at a different scale, and none a proxy for any other.Washington Puts Money Behind the ThemeThe clearest signal that quantum has moved from speculation toward strategic priority came from the federal government. In May 2026, the U.S. Department of Commerce announced approximately $2 billion in funding for the quantum industry under the CHIPS and Science Act, with several companies set to receive direct funds in exchange for equity stakes. The announcement sent quantum stocks sharply higher across the board, even for companies not named as direct recipients.The following month, on June 22, 2026, a pair of executive orders turned that broad funding narrative into a structured federal timeline. One directive targets national quantum computing and sensing capabilities, coordinating multiple agencies to deliver a science-enabling quantum computer to a Department of Energy facility later this decade. A second focuses on cryptographic defense, directing federal agencies to begin migrating high-value systems to post-quantum cryptography. For a sector where nearly every pure-play company still burns cash, the alignment of federal policy behind its success has put a floor under valuations that pure speculation never could.The Computing Race: Different Bets on the Same FutureOne fact matters more than any single stock: no one yet knows which quantum architecture will scale best. That uncertainty is the defining feature of the sector, and it is why the public companies pursuing quantum computing look so different from one another.IonQ (NYSE: IONQ) is the largest pure-play by revenue and the name many institutions reach for first. It builds trapped-ion systems prized for high fidelity and long qubit coherence, and it has pushed into quantum networking as a hedge on where near-term revenue may come from. Its business rests on hardware plus partnerships with major cloud platforms and government programs.Rigetti Computing (Nasdaq: RGTI) takes the superconducting path, building modular chips optimized for scalability and selling access to its systems through the cloud. The company has pursued a government-contract-first strategy and signed a letter of intent with the Department of Commerce for a proposed award of up to $100 million over three years under the CHIPS Act build-out.D-Wave Quantum (NYSE: QBTS) occupies a distinct position, having built its business on quantum annealing, a specialized technique well suited to optimization problems rather than universal gate-based computing. It has more recently added a gate-model platform, giving it two fundamentally different approaches under one roof.IBM (NYSE: IBM) and Alphabet (Nasdaq: GOOGL) anchor the big-cap end of the field, where quantum is upside rather than survival. IBM has published one of the most detailed roadmaps in the industry, targeting a demonstration of quantum advantage by the end of 2026 and a large-scale, fault-tolerant system it calls Starling by 2029. Alphabet's Google Quantum AI drew wide attention with error-correction progress on its Willow chip. Both carry the balance sheets to keep pushing regardless of near-term commercial results.The Other Half of the Story: Securing the Quantum EraRunning alongside the computing race is a second, less flashy contest with a firmer deadline: replacing the encryption that protects nearly all sensitive data today before quantum machines grow powerful enough to break it. The concern is not hypothetical. Security researchers describe a "harvest now, decrypt later" dynamic, in which encrypted data is captured today on the expectation it can be unlocked once the technology matures.The regulatory calendar has sharpened that concern. In August 2024, the National Institute of Standards and Technology finalized its first three post-quantum cryptography standards, and the U.S. National Security Agency's CNSA 2.0 framework sets a phased timeline for national security systems to adopt quantum-safe algorithms over the balance of the decade. Those deadlines have turned what was long a strategy-document abstraction into an operational project for enterprises and governments alike.That is the lane QSE - Quantum Secure Encryption Corp. (CSE: QSE) (OTCQB: QSEGF) (FSE: VN8) operates in. The Canadian company describes itself as a post-quantum cybersecurity firm focused on quantum-resilient data protection, identity security, secure storage, and cryptographic migration readiness. In March 2026 it launched QPA v2, an enterprise platform designed to help organizations assess where their encryption is exposed, inventory cryptographic dependencies, and plan a migration to quantum-safe standards. Other names positioned across the post-quantum security stack include established security vendors and specialists such as Arqit Quantum (Nasdaq: ARQQ), alongside larger platform players. As with the computing names, these companies operate at very different scales and pursue different models.The Case for CautionFor all the momentum, the quantum sector remains among the most speculative corners of the market. The industry still operates in what researchers call the NISQ era, noisy intermediate-scale quantum, where today's leading systems top out in the low hundreds to low thousands of physical qubits and require aggressive error correction. There is still no commercial killer application running at scale on quantum hardware, and useful chemistry, cryptography, and optimization workloads at scale remain a late-decade story by most estimates.The financial profile reflects that. Pure-play quantum companies trade at extreme valuations relative to minimal revenue, regularly raise equity to fund research, and expose shareholders to dilution and steep volatility. Architectures can go obsolete if a rival reaches fault-tolerance first. Government funding has put a floor under the sector, but policy is a tailwind, not a guarantee, and execution against technical roadmaps remains the ultimate test. For most risk-aware investors, the takeaway from the analysts covering the space is consistent: treat quantum as a small, diversified, long-horizon position rather than a sure thing.The Bottom LineQuantum in 2026 is a sector finally backed by real money and real milestones, and still years from proving its commercial thesis. The computing names are placing different architectural bets on the same uncertain future, the big-cap programs are funding the frontier, and a parallel security race is running against fixed deadlines that do not depend on any single company succeeding. For investors watching the theme, the sector rewards breadth and patience over conviction in any one name, and the next checkpoints, hardware milestones, funded roadmaps hitting their dates, and enterprise adoption of post-quantum tools, are the markers worth watching from here.SIGNAL OVER NOISESignal over noise. Quantum-computing and cybersecurity headlines move fast, and the crowd often moves first. Eagle Eye is a real-time investor signal-intelligence platform that surfaces sentiment shifts, news flow, and trending tickers as they happen, so you see the move forming instead of reading about it later. See it at eagle-eye.dev.CONTACTUSA News Group
info@usanewsgroup.comSOURCES[1] U.S. Department of Commerce quantum funding under the CHIPS and Science Act, announced May 2026; contemporaneous market coverage, 2026.
[2] Executive orders on national quantum capabilities and cryptographic defense, signed June 22, 2026; contemporaneous coverage, 2026.
[3] IBM Quantum roadmap and corporate disclosures, 2025-2026.
[4] QSE - Quantum Secure Encryption Corp. (CSE: QSE), corporate disclosures and news releases, 2026, including the QPA v2 launch dated March 31, 2026.
[5] IonQ, Inc. (NYSE: IONQ); Rigetti Computing, Inc. (Nasdaq: RGTI); D-Wave Quantum Inc. (NYSE: QBTS); Arqit Quantum Inc. (Nasdaq: ARQQ), corporate disclosures and market data, 2026.DISCLAIMERNothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. This article is being distributed for Market IQ Media Group Limited, a company incorporated under the laws of Ireland ("MIQL"), which wholly owns and operates USA News Group. MIQL has previously been paid a fee for QSE - Quantum Secure Encryption Corp. advertising and digital media, which fee has since expired. There may be 3rd parties who may have shares of QSE - Quantum Secure Encryption Corp., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constituted a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. Because of this conflict, individuals are strongly encouraged to not use this publication as the basis for any investment decision. MIQL and its owner/operators own shares of QSE - Quantum Secure Encryption Corp. acquired through private placement and in the open market, and reserve the right to buy and sell shares of QSE - Quantum Secure Encryption Corp. at any time without any further notice commencing immediately and ongoing. This article is a general overview of the quantum technology sector and is intended for informational and industry-context purposes only. None of the companies named in this article, including QSE - Quantum Secure Encryption Corp., has reviewed, approved, endorsed, commissioned, or is responsible for the content of this article, and nothing herein should be construed as a statement by, or on behalf of, any company mentioned. While all information is believed to be reliable, it is not guaranteed by us to be accurate. Individuals should assume that all information contained in our newsletter is not trustworthy unless verified by their own independent research. Always consult a licensed investment professional before making any investment decision. Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment. All references to companies named in this article are based on those companies' public disclosures, are provided for industry context only, and do not imply any partnership, endorsement, affiliation, or comparable performance.FORWARD-LOOKING STATEMENTS: This publication contains forward-looking statements, including statements regarding the growth of the quantum computing and post-quantum security sectors; government funding and policy timelines; the technology roadmaps, milestones, and commercial prospects of the companies referenced; and the pace of enterprise and government adoption of quantum-safe cryptography. Forward-looking statements are based on current expectations and assumptions and are subject to known and unknown risks and uncertainties, many beyond any company's control, including the technical difficulty of scaling quantum hardware and achieving fault tolerance; the risk that a given architecture is superseded; the substantial capital requirements and dilution risk facing early-stage companies; uncertain timing and terms of government funding; competition from larger and better-capitalized companies; and the pace at which regulatory deadlines translate into commercial demand. Actual results could differ materially from those projected. References to other companies are based on those companies' public disclosures, are provided for industry context only, and do not imply any partnership, endorsement, affiliation, or comparable performance. Except as required by law, none of the companies referenced undertakes any obligation to update any forward-looking statement.  View original content to download multimedia:https://www.prnewswire.com/news-releases/the-quantum-sector-hits-an-inflection-point-federal-money-real-milestones-and-a-security-race-running-in-parallel-302818222.html Original: The Quantum Sector Hits an Inflection Point: Federal Money, Real Milestones, and a Security Race Running in Parallel

As AI Models Become Commodities, a Bio-Native AI Company Just Moved to Patent the Data Layer Beneath the ModelsJuly 6, 2026 8:55 AM
PR Newswire (Canada) Issued on behalf of MindWalk Holdings Corp.MindWalk Holdings Corp. (NASDAQ: HYFT) filed a European patent application directed to the high-dimensional biological data architecture beneath its HYFT® Technology, ReefIQ™, and LensAI™, the model-agnostic context layer designed to let AI models and agentic workflows retrieve, compare, and reason over connected, traceable biology in drug discovery.AUSTIN, Texas, July 6, 2026 /CNW/ -- USA News Group News Commentary — A growing consensus in artificial intelligence holds that the models themselves are becoming interchangeable, and that durable advantage is migrating away from the model and toward the proprietary, structured data a model reasons over. On that thesis, MindWalk Holdings Corp. (NASDAQ: HYFT), a Bio-Native AI company, has filed a European patent application directed to the high-dimensional data structures at the core of its HYFT® Technology, moving to protect the enriched biological data layer that its commercial platforms are designed to run on. Key TakeawaysMindWalk Holdings Corp. (NASDAQ: HYFT) filed European patent application No. EP26187897.9, directed to high-dimensional data structures for biological subsequences and property inference, intended to protect the enriched biological representation architecture beneath its HYFT® Technology, ReefIQ™ biological context layer, and LensAI™ reasoning workflows.The filing rests on a thesis gaining traction across life-sciences AI: as frontier models trend toward commodity, durable advantage migrates to the data layer, the structured, domain-specific representation that lets any model or agent retrieve, compare, and reason over biology with traceable context.The application is described as additive to MindWalk's foundational HYFT patent (WO 2020/161344), protecting a distinct computational layer built on the original foundation rather than a re-filing of it, and anchoring a market where spending on AI in drug discovery is projected to grow from roughly US$5 billion in 2026 to more than US$8 billion by 2030, atop more than US$250 billion in annual pharmaceutical R&D.MindWalk is advancing amid broader activity in AI-enabled life sciences, a landscape that includes public names investors track such as Absci (NASDAQ: ABSI), Certara (NASDAQ: CERT), AstraZeneca (NASDAQ: AZN), and NVIDIA (NASDAQ: NVDA), each distinct, and none a proxy for MindWalk.Patenting the Layer Beneath the ModelThe premise behind the filing is that in artificial intelligence, the models are becoming easier to substitute. As frontier systems from competing labs converge on similar capabilities, MindWalk argues the place where lasting advantage accrues is shifting away from the model and toward the proprietary, structured data the model is given to reason over. On June 2026, the Austin-based Bio-Native AI company announced it filed European patent application No. EP26187897.9, directed to high-dimensional data structures for biological subsequences and property inference. The application is intended to protect the enriched biological representation architecture that underpins its HYFT® Technology, its ReefIQ™ biological context layer, and its LensAI™ reasoning workflows."Every AI model eventually becomes easier to substitute; the durable question is what biological context the model runs on," said Jennifer Bath, Ph.D., Chief Executive Officer and President of MindWalk. "In life sciences, the differentiator is not a generic chatbot layer, but the structured representation that lets models and agentic workflows retrieve connected evidence, preserve provenance, and reuse knowledge across programs. This filing is intended to protect aspects of the architecture at the core of HYFT® Technology, where MindWalk believes lasting value in biological AI can compound."The company frames the timing against a clear architectural lesson emerging in agentic AI for life sciences: frontier models alone are not enough. It points to recent public work on scientific agents, including NVIDIA's BioNeMo Agent Toolkit and AstraZeneca's ChatInvent system, as evidence of the need for domain-specific context, structured tool interfaces, provenance, memory, and validation when AI agents are deployed in real scientific workflows.An Additive Layer, Not a Re-FilingThe new application builds on MindWalk's foundational HYFT patent (WO 2020/161344), which established how the company identifies characteristic biological patterns that recur across life and uses them as a searchable language to compare sequences without alignment. According to MindWalk, EP26187897.9 protects a distinct and additive layer, organizing the biological meaning around those patterns into a form that can be reused across the company's infrastructure, customer programs, and AI workflows. The company describes it as the computational layer built on the original foundation, not a re-filing of it.The contrast the company draws with a model-only approach is central to its argument. Large language models are powerful, MindWalk notes, but their learned knowledge is largely embedded in model parameters and can be difficult to inspect, update, or govern in a biological discovery setting. Its architecture is designed to add a separate, biology-aware representation layer that keeps meaningful biological patterns connected to sequence-level, structural, physicochemical, functional, experimental, and literature-derived context in a form that can be retrieved, compared, updated, and reused across workflows, evolving as new biological knowledge is generated rather than requiring every insight to be absorbed into a new model-training cycle.The work targets a persistent obstacle in drug discovery: fragmented data. A single program may generate sequence information, structural context, physicochemical signals, assay results, literature evidence, and historical decisions across different systems and teams. When that context is scattered, MindWalk argues, scientists and AI systems lose information that should remain connected, and the company's architecture is designed instead to keep each meaningful biological pattern tied to the context that explains why it matters."Biology does not live in one file type," said Dirk Van Hyfte, M.D., Ph.D., Chief Technology Officer of MindWalk. "Sequence, structure, physicochemical behavior, function, evidence, and literature all need to stay connected for AI systems to be useful in discovery. Through this filing, we are seeking to protect the layer that keeps those biological connections organized, accessible, and usable as discovery work moves between AI models, software tools, and human scientific teams."From Architecture to Active ProgramsMindWalk says it has begun to demonstrate the approach in active programs, with results the company is careful to frame as preclinical. In dengue, the company has reported preclinical binding-level data in which a HYFT®-identified target informed immunogen design and generated antibodies that bound across antigens from all four dengue serotypes in two independent campaigns. In influenza, MindWalk has disclosed a HYFT®-defined functional constraint observed across broad influenza A and B datasets, including human, avian, swine-associated, Victoria, and Yamagata backgrounds. These programs remain preclinical, and the company states that additional studies are required to assess neutralization, safety, durability, clinical translation, regulatory path, and commercial potential.The approach reflects what MindWalk calls its functional and evolutionary-constraint thesis: that recurring biological patterns often persist because they are tied to function, structure, binding, immune recognition, or evolutionary fitness. By representing those patterns together with their surrounding context, the company aims to give AI systems a more organized and traceable basis for reasoning over biology.The Commercial Layer and Why It Matters to InvestorsReefIQ™ and LensAI™ are the commercial expression of this representation strategy. The company states that LensAI™ is in contracted, recurring arrangements with life-sciences customers today, and that the filing is intended to protect a layer those deployments can build on as data and program experience accumulate. In MindWalk's framing of the stack, HYFT® identifies biologically meaningful pattern anchors, ReefIQ™ organizes customer and program data around those anchors as governed biological context, and LensAI™ operates over that context to support target discovery, candidate diligence, hypothesis generation, and portfolio decision support.That data layer also anchors a large and growing market. By the company's cited third-party estimates, spending on AI in drug discovery is projected to grow from approximately US$5 billion in 2026 to more than US$8 billion by 2030, atop the more than US$250 billion the pharmaceutical industry invests in research and development each year. Those figures are third-party projections that may prove inaccurate, and the company presents them as context. For investors, MindWalk frames the filing as support for a strategy of building value beyond any single AI model, with the durable asset being the biology-aware representation layer itself, a model-agnostic infrastructure asset the company believes can become more valuable as more programs, evidence, and customer data are connected to it.The Public Companies Around AI-Enabled Drug DiscoveryMindWalk is a Bio-Native AI company pursuing an infrastructure strategy and is not directly comparable to the names below. These comparisons are for industry context only; each company pursues a different technology and business model, several are far larger or further along, and none is a proxy for MindWalk or implies any partnership or comparable performance.Absci (NASDAQ: ABSI) is a clinical-stage biopharmaceutical company that applies generative AI and synthetic biology to design antibody therapeutics, pairing AI models with high-throughput wet-lab validation. Absci illustrates the AI-native, model-plus-wet-lab end of drug discovery, a different approach to the shared goal of making AI useful in real biological workflows.Certara (NASDAQ: CERT) provides biosimulation and model-informed drug-development software used across pharmaceutical R&D. As an established software-and-services provider to drug developers, Certara offers a view of the software-infrastructure layer of the industry that platform-stage companies are working within.AstraZeneca (NASDAQ: AZN), a global biopharmaceutical company, has publicly detailed agentic-AI work in discovery, including the ChatInvent system referenced in connection with MindWalk's filing. AstraZeneca represents the large-pharma end of the spectrum, where major developers are building and deploying agentic AI inside real discovery workflows.NVIDIA (NASDAQ: NVDA) supplies much of the compute and software infrastructure behind modern AI, including life-sciences tools such as its BioNeMo Agent Toolkit referenced in connection with the filing. NVIDIA illustrates the compute-and-tooling foundation on which AI-enabled discovery, including the kind of agentic workflows MindWalk describes, is being built.The Bottom LineA patent application is a beginning, not a guarantee. European examination can narrow or reject claims, and the scope, issuance, enforceability, and competitive value of any patent that ultimately issues remain open questions the company itself flags, alongside the preclinical status of its dengue and influenza programs. But the strategic signal is coherent: in a world where AI models are trending toward commodity, MindWalk is betting that lasting value in life-sciences AI lives in the structured biological data underneath, and it is moving to protect its version of that layer at the architectural root. For investors tracking where durable advantage accrues as the AI buildout matures, MindWalk's filing is a concrete data point, with the patent's prosecution, customer adoption, and revenue trajectory the markers worth watching from here.SIGNAL OVER NOISESignal over noise. Biotech, artificial-intelligence, and drug-discovery headlines move fast, and the crowd often moves first. Eagle Eye is a real-time investor signal-intelligence platform that surfaces sentiment shifts, news flow, and trending tickers as they happen, so you see the move forming instead of reading about it later. See it at eagle-eye.dev.CONTACTUSA News Group
info@usanewsgroup.comSOURCES[1] MindWalk Holdings Corp., "MindWalk (NASDAQ: HYFT) Files Patent for High-Dimensional Biological Data Architecture Powering AI Drug Discovery" (Business Wire, AUSTIN, Texas, 2026; European patent application No. EP26187897.9; HYFT®, ReefIQ™, LensAI™; foundational HYFT patent WO 2020/161344).[2] Absci Corporation (NASDAQ: ABSI), corporate and clinical disclosures, 2026.[3] Certara, Inc. (NASDAQ: CERT), corporate disclosures, 2026.[4] AstraZeneca PLC (NASDAQ: AZN), corporate disclosures; ChatInvent agentic system described in He J, Lai H, Saigiridharan L, Ghiandoni GM, et al., "Democratising real-world drug discovery through agentic AI," Drug Discovery Today, 2026.[5] NVIDIA Corporation (NASDAQ: NVDA), corporate disclosures; BioNeMo Agent Toolkit, NVIDIA Developer Blog, 2026.[6] AI-in-drug-discovery market estimates (Fortune Business Insights; Astute Analytica) and pharmaceutical R&D spending (Fierce Biotech; Statista), cited for context.DISCLAIMERNothing in this publication should be considered as personalized financial advice. We are not licensed under securities laws to address your particular financial situation. No communication by our employees to you should be deemed as personalized financial advice. Please consult a licensed financial advisor before making any investment decision. This is a paid advertisement and is neither an offer nor recommendation to buy or sell any security. We hold no investment licenses and are thus neither licensed nor qualified to provide investment advice. The content in this report or email is not provided to any individual with a view toward their individual circumstances. This article is being distributed by USA News Group on behalf of Market IQ Media Group Limited, a company incorporated under the laws of Ireland ("MIQL"). MIQL has been paid a fee for MindWalk Holdings Corp. advertising and digital media from Creative Direct Marketing Group ("CDMG"). There may be 3rd parties who may have shares of MindWalk Holdings Corp., and may liquidate their shares which could have a negative effect on the price of the stock. This compensation constitutes a conflict of interest as to our ability to remain objective in our communication regarding the profiled company. 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Be extremely careful, investing in securities carries a high degree of risk; you may likely lose some or all of the investment.FORWARD-LOOKING STATEMENTS: This publication contains forward-looking statements, including statements regarding European patent application No. EP26187897.9 and the prosecution, scope, issuance, enforceability, and competitive value of any patent that may issue; the possibility that claims may be narrowed, rejected, or successfully challenged; the role of the patented architecture in HYFT® Technology, ReefIQ™, the biological representation, and the LensAI™ platform; risks that preclinical results described, including the dengue binding-level data and the influenza functional-constraint findings, may not be reproduced and may not translate into neutralization, safety, efficacy, durability, or clinical or commercial success, and that these programs remain preclinical and subject to substantial further study; the size, growth, and addressability of the markets referenced, which are based on third-party estimates that may prove inaccurate; the pace and degree of customer and market adoption; the technical performance of AI-based discovery methods; competition; regulatory determinations; and capital-markets conditions. Additional information is available in MindWalk's Annual Report on Form 20-F and other filings on SEDAR+ (sedarplus.ca) and EDGAR (sec.gov/edgar). Except as required by law, MindWalk undertakes no obligation to update any forward-looking statement. References to other companies are based on those companies' public disclosures, are provided for industry context only, and do not imply any partnership, endorsement, affiliation, or comparable performance. HYFT® is a registered trademark, and LensAI™ and ReefIQ™ are trademarks, of MindWalk Holdings Corp. or its subsidiaries.Logo - https://mma.prnewswire.com/media/2838876/5656770/USA_News_Group_Logo.jpg  View original content:https://www.prnewswire.com/news-releases/as-ai-models-become-commodities-a-bio-native-ai-company-just-moved-to-patent-the-data-layer-beneath-the-models-302818260.html Original: As AI Models Become Commodities, a Bio-Native AI Company Just Moved to Patent the Data Layer Beneath the Models

Foxconn Posts Strong Q2 Revenue Growth on AI Demand, Flags Geopolitical Risks (FXCOF)July 6, 2026 6:56 AM
IH Market News Artificial Intelligence Drives Better-Than-Expected Sales Foxconn, officially known as Hon Hai Precision Industry (USOTC:FXCOF), reported a sharp increase in second-quarter revenue as strong demand for artificial intelligence infrastructure continued to fuel growth, although the company warned that geopolitical uncertainty remains a key risk. The world’s largest contract electronics manufacturer generated revenue of T$2.513 trillion ($78.71 billion) during the April-to-June period, representing a 39.8% increase from a year earlier and comfortably exceeding Reuters/LSEG forecasts of T$2.372 trillion. Cloud and Networking Products Lead Growth Foxconn said demand for cloud computing and networking products remained particularly strong as investment in AI infrastructure continued to accelerate worldwide. The company also reported healthy performance across its consumer electronics business, highlighting resilient end-market demand during the quarter. As the leading server manufacturing partner for NVIDIA Corporation (NASDAQ:NVDA) and Apple’s (NASDAQ:AAPL) primary iPhone assembler, Foxconn continues to play a central role in the global technology supply chain. AI Infrastructure Continues to Support Performance Growing investment in artificial intelligence has significantly boosted demand for data centre servers and networking equipment, providing a major tailwind for Foxconn’s manufacturing operations. At the same time, continued consumer spending on electronic devices has provided an additional source of revenue growth in recent quarters. Company Remains Cautious on Global Uncertainty Despite the strong quarterly performance, Foxconn cautioned that geopolitical and broader macroeconomic uncertainty could continue to affect future business conditions, although it did not identify any specific risks. Looking ahead, the company expects shipments of AI server racks to continue growing during the current quarter, while seasonal demand is also anticipated to provide additional support for its consumer electronics business. The post Foxconn Posts Strong Q2 Revenue Growth on AI Demand, Flags Geopolitical Risks (FXCOF) appeared first on US Editors. Original: Foxconn Posts Strong Q2 Revenue Growth on AI Demand, Flags Geopolitical Risks (FXCOF)

Nvidia launches revenue-sharing model to help AI startups access computing power (NVDA)July 2, 2026 5:36 AM
IH Market News Nvidia (NASDAQ:NVDA) has unveiled a new initiative designed to help artificial intelligence startups gain access to high-performance computing infrastructure through a revenue-sharing and credit-support model. New partnership structure targets AI infrastructure costs Under the programme, AI cloud providers will deliver cloud services powered by Nvidia technology, allowing the chipmaker to generate revenue from hardware sales while also receiving a share of the cloud providers’ future earnings. The company said the approach is intended to lower the financial barriers facing emerging AI businesses that require access to expensive computing infrastructure. Cloud providers adopt Nvidia platform According to Nvidia, several cloud operators are already building AI facilities using its DSX data centre platform. Sharon AI and Firmus are among the first companies to participate in the new commercial model, marking the initial rollout of the programme. Expanding AI ecosystem The initiative forms part of Nvidia’s broader strategy to strengthen its position across the artificial intelligence ecosystem through partnerships spanning cloud infrastructure and data centres. By supporting younger AI companies while expanding adoption of its advanced processors, Nvidia aims to deepen customer relationships and broaden the use of its technology as demand for AI computing continues to accelerate. Rapid growth in AI and data centre spending has been a major driver of Nvidia’s financial performance over the past three years, helping the company become the most valuable business on Wall Street. The post Nvidia launches revenue-sharing model to help AI startups access computing power (NVDA) appeared first on US Editors. Original: Nvidia launches revenue-sharing model to help AI startups access computing power (NVDA)

Headlines tonight: soccer news from Santa Clara, NVDA’s U.S. HQ,—-U.S. team of 10 advances to round of 16 with 2-1 win over Bosnia.

Gotta love the headlines on my phone this morning stock features are down because the stock market had a big first half

$NVDA $KNDI Kandi Technologies (NASDAQ:?KNDI) is positioning itself as an emerging player in the power infrastructure layer of modern AI-driven data centers. Its recent strategic move—acquiring a controlling stake in Hangzhou Xinchu New Energy Technology—signals a clear pivot toward supplying next-generation backup power, lithium-battery systems, and intelligent BMS platforms engineered specifically for high-density GPU environments.

Magnificent Seven shed $2.3 trillion in June as AI spending comes under closer scrutiny (MSFT)June 30, 2026 9:00 AM
IH Market News Investor sentiment shifts toward infrastructure costs The so-called “Magnificent Seven” technology stocks have collectively lost around $2.3 trillion in market value during June as investors reassessed the scale of artificial intelligence infrastructure spending by the sector’s largest companies. The group comprises Microsoft Corporation (NASDAQ:MSFT), Nvidia Corporation (NASDAQ:NVDA), Alphabet Inc. (NASDAQ:GOOG), Apple Inc. (NASDAQ:AAPL), Meta Platforms Inc. (NASDAQ:META), Tesla Inc. (NASDAQ:TSLA) and Amazon.com Inc. (NASDAQ:AMZN). Amazon, Microsoft, Alphabet and Meta are investing hundreds of billions of dollars in semiconductors and data centre capacity to expand their AI capabilities, with part of that spending financed through debt. During June, Microsoft shares fell 20%, Nvidia declined about 13%, while Apple and Amazon each dropped roughly 8%. Markets await proof that AI investment will deliver returns Investors have become increasingly cautious as technology giants commit record sums to AI infrastructure, with many now looking to the upcoming second-quarter earnings season for evidence that those investments are translating into stronger financial performance. The reporting season, which begins in July, is expected to provide greater insight into whether the industry’s heavy capital expenditure is generating meaningful returns. Chipmakers continue to outperform While the largest technology companies have come under pressure, semiconductor stocks have continued to outperform. The Philadelphia Semiconductor Index advanced around 6% during June and has climbed more than 90% this year, compared with a 3.4% decline for the Magnificent Seven over the same period. Demand from major technology companies has continued to benefit semiconductor manufacturers, including Taiwan Semiconductor Manufacturing Co., Micron Technology Inc. and ASML Holding NV, with strong chip orders creating supply shortages throughout the industry. The resulting shortage of memory components has also driven prices higher, adding to supply chain constraints across the semiconductor market. Microsoft stock price Nvidia stock price Alphabet stock price Apple stock price Meta stock price Tesla stock price Amazon stock priceThe post Magnificent Seven shed $2.3 trillion in June as AI spending comes under closer scrutiny (MSFT) appeared first on US Editors. Original: Magnificent Seven shed $2.3 trillion in June as AI spending comes under closer scrutiny (MSFT)

Semiconductor stocks climb to record 19.7% of the S&P 500 as AI rally reshapes the indexJune 30, 2026 8:28 AM
IH Market News Chipmakers reach unprecedented share of the benchmark Semiconductor companies now account for a record 19.7% of the S&P 500, almost four times their weighting of around 5% in June 2020, according to Citadel Securities strategist Scott Rubner. The sector’s influence has grown well beyond previous market peaks. Before the dotcom crash, semiconductor stocks represented just over 8% of the index, less than half their current share, highlighting the unprecedented concentration seen today. Nvidia (NASDAQ:NVDA) has been the biggest contributor to the sector’s expanding index weight during the artificial intelligence boom. However, gains have broadened to include companies such as Broadcom (NASDAQ:AVGO), TSMC (NYSE:TSM), ASML (NASDAQ:ASML), AMD (NASDAQ:AMD), along with memory-chip makers Micron (NASDAQ:MU) and SanDisk (NASDAQ:SNDK), further increasing the sector’s dominance. Passive investing continues to reinforce market concentration Rubner said the concentration has become self-perpetuating. As semiconductor shares outperform, their weighting within the index rises, prompting passive investment funds to allocate even more capital to the same companies. That additional demand then supports further price gains and increases index weights again. The trend has been amplified by exceptionally strong fund flows. According to Rubner’s analysis, exchange-traded funds attracted more than $1 trillion in inflows year-to-date through late June 2026, approximately 45% above the record pace seen during the same period last year. Valuation concerns continue to build Several market indicators are now signalling elevated valuations across the semiconductor sector. According to a Reuters report published on June 30, Bank of America’s proprietary Bubble Risk Indicator reached 0.91 for the PHLX Semiconductor Sector and 0.82 for the Technology Select Sector on a scale where one represents extreme bubble-like conditions. Meanwhile, LSEG head of earnings research Tajinder Dhillon noted that the S&P 500’s price-to-sales ratio has climbed to 3.22, well above its long-term average of 1.84. The widely followed Buffett Indicator, which compares total U.S. stock market capitalisation with gross domestic product, currently stands at 231.8%, indicating the market is “significantly overvalued.” Investors remain divided over the AI-driven rally Despite growing valuation concerns, not all market participants believe the concentration reflects a speculative bubble. JJ Kinahan, head of retail expansion and alternative investment products at Cboe Global Markets, argued that semiconductor suppliers remain well positioned compared with the companies investing heavily in artificial intelligence infrastructure. “The folks selling the picks and shovels are in incredibly good stead. Those buying them still have to prove that the billions and billions of dollars they’re spending is worth it.” The debate over whether hyperscale AI spending will ultimately generate returns sufficient to justify current semiconductor valuations has become one of Wall Street’s central investment questions. New-quarter fund flows could provide another boost Recent market performance has hinted at an early rotation away from the largest technology names. During the previous week, the S&P 500 declined 1.94% while small- and mid-cap stocks outperformed, suggesting investors may be broadening their exposure beyond megacap chip companies. Even so, Rubner highlighted July 1 as a potential near-term catalyst, with retirement contributions, target-date funds and systematic investment strategies expected to deploy fresh capital at the start of the new quarter. Given semiconductor companies’ record weighting within the S&P 500, those inflows could provide additional support for the sector in the short term. Over a longer horizon, however, future interest-rate decisions under Federal Reserve Chair Kevin Warsh could alter valuation assumptions and encourage institutional investors to reduce exposure to the sector. Nvidia stock price Broadcom stock price Taiwan Semiconductor stock price ASML Holding stock price Advanced Micro Devices stock price Micron Technology stock price SanDisk stock priceThe post Semiconductor stocks climb to record 19.7% of the S&P 500 as AI rally reshapes the index appeared first on US Editors. Original: Semiconductor stocks climb to record 19.7% of the S&P 500 as AI rally reshapes the index

Palantir and Nvidia Launch Secure AI Platform for Government Agencies (PLTR)June 29, 2026 9:46 AM
IH Market News Palantir Technologies (NASDAQ:PLTR) has unveiled a strategic collaboration with Nvidia (NASDAQ:NVDA) to bring Nvidia’s Nemotron open artificial intelligence models into sovereign computing environments, with the solution aimed at U.S. government organisations and operators of critical infrastructure. The new platform combines Nvidia’s AI capabilities, including its computing infrastructure and open AI models, with Palantir’s software suite comprising AIP, Ontology, Foundry and Apollo. The integrated offering is designed to enable government customers to develop, fine-tune and deploy AI models while maintaining full ownership and control of their data, intellectual property and AI assets. Focus on Security and Data Sovereignty According to the companies, the platform incorporates a range of security features, including explicit data authorisation, secure perimeter protection, customer-specific data isolation, data portability, right to erasure and comprehensive audit capabilities. The system is also designed to operate within classified and air-gapped environments. Customers will be able to optimise prompts and contextual information while modifying model weights using proprietary datasets and mission-specific outcomes. Palantir Chief Executive Alex Karp said the partnership would enable U.S. government agencies to harness large language models while limiting the risks associated with proprietary information entering closed AI systems. Nvidia Chief Executive Jensen Huang said the collaboration demonstrates how open AI models can be deployed to power mission-critical systems supporting national security objectives. The latest initiative expands on the companies’ previously announced Sovereign AI Operating System Reference Architecture and will include Nvidia AI Enterprise software together with Nvidia NIM microservices for enterprise-scale deployment. Palantir Technologies stock price Nvidia stock price The post Palantir and Nvidia Launch Secure AI Platform for Government Agencies (PLTR) appeared first on US Editors. Original: Palantir and Nvidia Launch Secure AI Platform for Government Agencies (PLTR)

AI Infrastructure Spending Creates New Wave of Semiconductor Ecosystem WinnersJune 29, 2026 8:45 AM
InvestorsHub NewsWireAI Infrastructure Spending Creates New Wave of Semiconductor Ecosystem WinnersAINewsWire Editorial Coverage: A tectonic shift is reshaping global semiconductor manufacturing. Hundreds of billions of dollars in new investment are flowing into the United States, pulling Taiwan's advanced manufacturing ecosystem closer to North American customers, capital markets and emerging opportunities. As artificial intelligence drives unprecedented demand for semiconductors and data center infrastructure, the companies enabling that production, including the precision engineers, automation providers and specialty materials manufacturers, are beginning to follow. Positioned directly at this intersection is Nightfood Holdings Inc. (OTCQB: NGTF) (Profile), doing business as TechForce Robotics, an AI-enhanced robotics and automation company that is actively building its strategic footprint within this migration. TechForce Robotics just announced a strategic alliance with Taiwan-based Jiun Jiang Enterprise Co. Ltd. (JJ Enterprise), a precision engineering and advanced manufacturing company serving the semiconductor, advanced packaging, and industrial automation industries. The partnership is designed to give TechForce Robotics access to decades of expertise in semiconductor-grade manufacturing, advanced materials processing, and high-performance production systems, capabilities central to the ongoing migration reshaping global manufacturing. This move reflects the company's commitment to becoming a key player among companies focused on  providing the hardware and infrastructure that power today's rapidly expanding AI ecosystem, including NVIDIA Corporation (NASDAQ: NVDA), Advanced Micro Devices Inc. (NASDAQ: AMD), Broadcom Inc. (NASDAQ: AVGO) and Super Micro Computer Inc. (NASDAQ: SMCI).The migration of Taiwan's semiconductor supply chain into the United States is no longer a trend in early formation; it is an industrial realignment already in motion.A growing body of opportunity is emerging for the companies that manufacture, automate and support the production of AI systems.TechForce Robotics is positioning itself to participate in this dynamic; JJ Enterprise's technologies support critical applications across AI infrastructure manufacturing, advanced packaging and next-generation thermal management.Each new facility that comes online requires significant investment in automation, robotics and production systems; TechForce Robotics is developing its capabilities in direct response to this demand.A parallel transformation is taking place in how Taiwan's industrial technology companies are approaching growth capital and international expansion.Click here to view the custom infographic of the Nightfood Holdings editorial.Taiwan's Semiconductor Suppliers Are Moving WestThe migration of Taiwan's semiconductor supply chain into the United States is no longer a trend in early formation; it is an industrial realignment already in motion. As Taiwan Semiconductor Manufacturing Company Limited ("TSMC") and other major manufacturers expand American operations, their ecosystem of suppliers, such as equipment makers, automation providers, specialty materials companies, and engineering firms, is under growing pressure to establish a closer U.S. presence. The forces driving this movement are multiple and reinforcing.Geopolitical risk plays a significant role. Concentration of the global semiconductor supply chain in Taiwan has long been viewed as a strategic vulnerability. According to the US-Taiwan Business Council, several Taiwanese material suppliers have already established significant facilities in Arizona. That physical presence is helping both TSMC and U.S.-based semiconductor manufacturers reduce exposure to potential supply disruptions. Commerce Secretary Howard Lutnick has publicly stated that a goal of the U.S.-Taiwan trade framework is to bring 40% of Taiwan's semiconductor supply chain to the United States.The financial scale of this migration is substantial. In January 2026, the U.S. and Taiwan signed a trade agreement that includes $250 billion in direct investments from Taiwanese semiconductor and technology enterprises, alongside an additional $250 billion in credit guarantees to expand chip production capacity in the United States. These commitments go well beyond TSMC itself. They signal a broader expectation that Taiwan's broader manufacturing ecosystem will follow its anchor customers westward over the coming decade.Industry analysts have noted that the migration creates both opportunity and complexity. Building supplier relationships, establishing manufacturing operations and navigating U.S. regulatory environments all require local partnerships and institutional knowledge. Early movers in this process stand to benefit most, gaining access to customers, contracts and capital before the field becomes crowded. DigiTimes reported in mid-2025 that TSMC's Arizona expansion is acting as a magnetic pull for Taiwanese suppliers, accelerating a wave of cross-Pacific expansion initiatives.TechForce Robotics is moving with this current. The company's strategic alliance with JJ Enterprise connects TechForce to a Taiwan-based manufacturer already embedded in the semiconductor supply chain. JJ Enterprise's expertise in advanced semiconductor packaging, thermal interface material manufacturing, gallium-based liquid metal processing and precision industrial automation spans exactly the capabilities that new North American fabs will need as they ramp production. By building this relationship now, TechForce Robotics is positioning itself as part of the migration rather than watching it from the outside.The AI Buildout Creates Demand Far Beyond the Chip DesignersWall Street's attention in the AI cycle has remained concentrated on a handful of household names. NVIDIA, AMD and TSMC capture the bulk of focus and media coverage. But the infrastructure supporting the AI revolution is far wider and deeper than these headline companies. A growing body of opportunity is emerging for the companies that manufacture, automate and support the production of AI systems.The numbers underscore this reality. Global semiconductor sales reached $208.4 billion in the third quarter of 2025, a 15.8% increase compared to Q2, according to the Semiconductor Industry Association. Monthly sales for September 2025 reached $69.5 billion, a 25.1 percent jump compared with September 2024. This level of demand is creating significant downstream pressure for manufacturing capacity, automation systems, and production support technologies across the ecosystem. The companies supplying those capabilities are operating in fast-growing markets of their own.The numbers underscore this reality. Global semiconductor sales reached $208.4 billion in the third quarter of 2025 alone, reflecting a 15.8% increase over the prior quarter. Monthly sales for September 2025 reached $69.5 billion, a 25.1% jump compared with September 2024. This level of demand is creating significant downstream pressure for manufacturing capacity, automation systems, and production support technologies across the ecosystem. The companies supplying those capabilities are operating in fast-growing markets of their own.One particularly significant growth area is semiconductor automation. The global robotics in semiconductor market was valued at approximately $10.9 billion in 2025 and is projected to reach $27.34 billion by 2035, growing at a compound annual growth rate of 9.65% over that period. North America is the fastest-growing regional market, expanding at a CAGR of 8.28%. That trajectory reflects the wave of new fab construction underway across the United States, as manufacturers invest heavily in automation systems to support advanced node production and increase throughput.Advanced packaging is another area seeing accelerating investment. As chip architectures move toward more complex three-dimensional integration and heterogeneous packaging, the automation and precision systems required to support those processes are becoming more sophisticated and more valuable. The semiconductor advanced packaging market is projected to grow at a CAGR of 9.4% between 2025 and 2030, driven by AI and high-performance computing demand. The broader semiconductor assembly and packaging equipment market is forecast to grow from $9.72 billion in 2025 to $17.44 billion by 2032 at a CAGR of 8.72%, with automation and AI-driven systems playing an increasingly central role in production.These are not peripheral opportunities. They sit at the core of how next-generation semiconductors are manufactured. TechForce Robotics is seeking to access this opportunity through its partnership with JJ Enterprise. The alliance gives TechForce access to expertise in advanced semiconductor packaging technologies, including CoWoS and next-generation thermal management solutions that are central to AI chip production.How AI Spending Flows Through the EcosystemNo company better illustrates the cascading effect of AI infrastructure spending than Super Micro Computer. Supermicro does not design chips; rather, it assembles AI servers. Yet as hyperscalers and enterprises raced to deploy AI infrastructure, Supermicro's business grew to reflect that demand directly. The company's trajectory shows how transformative AI spending can be for companies operating one or two steps downstream from the headline chip designers.The financial results are striking. In its second quarter of fiscal year 2026, Supermicro reported record net sales of $12.7 billion, more than double the revenue from the same quarter one year earlier. Full-year fiscal 2026 revenue guidance was subsequently raised to at least $36 billion. In June 2026, the company announced a $7 billion equity financing transaction to fund purchases of components needed to satisfy AI server orders it had recently received. These are not incremental milestones. They reflect explosive, sustained demand.Supermicro's success creates demand throughout its own supply chain. The company relies on hundreds of component suppliers, manufacturing partners, automation systems, thermal management technologies and precision production capabilities to assemble its AI server platforms. As Supermicro scales production across its facilities in the United States, Taiwan, Malaysia, the Netherlands and the Middle East, its supplier ecosystem scales alongside it. The AI infrastructure boom is not confined to chip designers. It flows through to every layer of the production stack.TechForce Robotics is positioning itself to participate in this dynamic. JJ Enterprise's technologies support critical applications across AI infrastructure manufacturing, advanced packaging and next-generation thermal management. These are precisely the production capabilities that companies such as Supermicro depend on as they ramp AI server output. The engineering disciplines embedded in JJ Enterprise's operations, including precision motion control, materials handling, process consistency and contamination management, are directly applicable to the production environments that AI infrastructure manufacturing requires.Intelligent Manufacturing Is Now a Competitive NecessitySemiconductor manufacturing has never been a forgiving industry. It demands extraordinary precision, exceptional cleanliness and unrelenting consistency. As chip geometries continue to shrink and packaging architectures grow more complex, those demands are intensifying. Manufacturers are responding by investing heavily in automation, robotics, machine vision and intelligent production systems. These technologies are no longer optional enhancements. They are becoming foundational requirements for competitive semiconductor manufacturing.The scale of investment reflects the urgency. Industry analysis indicates that global semiconductor companies plan to invest approximately $1 trillion in new fabrication plants through 2030. In the United States alone, the Semiconductor Industry Association has tracked more than $645 billion in announced private semiconductor investments across 140-plus projects in 30 states since 2020. Each new facility that comes online requires significant investment in automation, robotics and production systems, creating downstream demand throughout the manufacturing technology ecosystemTechForce Robotics is developing its capabilities in direct response to this demand environment. The company operates through a Robotics-as-a-Service ("RaaS") model that provides scalable automation solutions across multiple industries. Through its alliance with JJ Enterprise, TechForce gains access to semiconductor-grade manufacturing expertise and advanced automation capabilities that are immediately relevant to the needs of new U.S. fabs.Unlocking New Capital for Taiwan's ManufacturersA parallel transformation is taking place in how Taiwan's industrial technology companies are approaching growth capital and international expansion. For decades, many of Taiwan's most sophisticated manufacturing and engineering firms operated as private companies serving large OEM customers within established supply chains. The AI infrastructure boom, combined with the migration of semiconductor manufacturing toward North America, is creating new incentives to seek public-market access, cross-border partnerships and U.S. exchange listings.The motivations are clear. Public-market access provides capital for R&D investment, manufacturing expansion and talent acquisition at a scale difficult to achieve through private means. U.S. exchange listings provide visibility with American institutional investors and customers. Strategic partnerships with U.S.-listed companies provide a pathway to North American market participation and capital without the cost and complexity of a standalone IPO. As the semiconductor ecosystem migration accelerates, these cross-border transaction structures are becoming more common and more strategically significant.The CHIPS Act has created additional incentives for this dynamic. The legislation's $39 billion in manufacturing incentives is available to companies investing in U.S. semiconductor facilities, creating financial reasons for Taiwan-based manufacturers to establish American operations or partner with U.S. companies. The CHIPS for America program continues to fund projects spanning fabrication, advanced packaging, manufacturing equipment and materials production. Companies with North American operating relationships are better positioned to participate in this funding environment than those without one.TechForce Robotics and Nightfood Holdings are pursuing a strategy that reflects this evolving landscape. The company's proposed acquisition of a controlling interest in JJ Enterprise is designed to give investors in a publicly traded U.S. company direct exposure to the migration of Taiwan's advanced manufacturing capabilities into North America.The convergence of TSMC's six-fab Arizona buildout, CHIPS Act-driven investment across 30 states and accelerating demand for AI infrastructure is creating a window for companies able to position themselves at the intersection of Taiwan's manufacturing expertise and North America's capital and customer base. TechForce Robotics is building precisely that position. Through its alliance with JJ Enterprise and its broader automation platform, the company is seeking to participate in an industrial migration that is already well underway and that is likely to define the next decade of semiconductor and AI infrastructure growth.AI Infrastructure Powers Next-Generation InnovationArtificial intelligence continues to evolve beyond algorithms and applications, with the industry's focus increasingly shifting toward the infrastructure that enables large-scale deployment. Recent developments highlight growing investments in high-performance computing, cloud integration, cybersecurity and edge intelligence, underscoring how the next wave of AI innovation will depend on scalable, secure and energy-efficient platforms capable of supporting increasingly sophisticated workloads across enterprise and industrial environments.NVIDIA Corporation (NASDAQ: NVDA) is collaborating with Amazon Web Services ("AWS") to bring AI production at scale. The company observed that building AI systems at scale is demanding, requiring low-latency inference, fast vector search, strong GPU price-performance and infrastructure that can grow without multiplying operational complexity. NVIDIA's latest work with AWS addresses each of those constraints. For example, EC2 G7 instances powered by NVIDIA RTX PRO 4500 Blackwell Server Edition GPUs expand the compute layer for AI, graphics, video and data analytics workloads, while the NVIDIA cuVS library accelerates the retrieval layer by making GPU-powered vector indexing the default in OpenSearch Serverless.Advanced Micro Devices Inc. (NASDAQ: AMD) has signed a definitive agreement with Rackspace Technology(R). The agreement is for the phased deployment of an initial 30 MW footprint dedicated to AMD-based compute deployments across Rackspace's global data centers beginning in late 2026 through 2028. The agreement operationalizes a memorandum of understanding announced in May and establishes AMD as a strategic technology partner at the silicon layer of Rackspace's governed AI stack.Broadcom Inc. (NASDAQ: AVGO) announced significant security investments for the Spring and Java ecosystem, relied on by over half of Fortune 500 companies. To help the Spring community navigate an unprecedented surge in AI-detected security threats, Broadcom's Tanzu business released the largest set of Spring security updates to open source in Spring's 23-year history. Additionally, for customers, Broadcom is extending its proven clean-room build architecture, foundational to Bitnami, to build the Java dependencies for the entire Spring ecosystem. These investments aim to protect the integrity of Spring and prepare Broadcom's customers for the continued rise in AI-enabled security threats.Super Micro Computer Inc. (NASDAQ: SMCI) is expanding support for AI-optimized edge computing solutions powered by Intel technologies. These solutions include new systems featuring Intel Core Ultra Series 3 processors, Intel Core Series 2 processors and Intel Arc Pro B-series GPUs. The systems range from compact, fanless systems for industrial applications, short-depth 1U rackmount servers for space-constrained environments and a mini tower for office environments. Designed to be a cost optimized solution for low-latency AI inferencing and intelligent automation, the expanded portfolio helps organizations across retail, manufacturing, physical security, transportation and logistics deploy scalable, power-efficient AI at the edge.These milestones reflect a broader transformation in the AI ecosystem as organizations strengthen the foundational technologies required to support widespread adoption. As advances in computing, networking, security and intelligent edge systems continue to converge, AI is becoming more scalable, resilient and accessible—laying the groundwork for the next generation of enterprise applications and real-world automation.For further information about Nightfood Holdings Inc., please visit the Nightfood Holdings profile.About AINewsWireAINewsWire (AINW) is a specialized communications platform with a focus on the latest advancements in artificial intelligence ("AI"), including the technologies, trends and trailblazers driving innovation forward. 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We clearly see the market through different lenses. You view risk as a series of improbable 'what-ifs,' while I view it as the foundation of long-term capital preservation. I have no interest in debating this further, as we are fundamentally misaligned on what constitutes prudent analysis.

I will stand by my research and let the market cycles determine the outcome. There is nothing more to add—good luck with your approach.

It’s unfortunate that you look upon my posts as “lecturing”.

They’re not meant to be that. They’re simply my viewpoint and opinion about your analysis of NVDA.

I have every right to give my opinion here, as you do.

I’m not saying that NVDA is going to go to $1,000/share. I’m not cheerleading while shaking Pom-poms!

I’m simply saying that your analysis has not been representative of the way NVDA has performed for the two year period you’ve been posting on this board. Yet even though your previous analysis has been incorrect (proven by the actual performance of NVDA - and its stock price), you continue to prophesy bad things for NVDA in the next 60 months!

Might NVDA crater and go down much lower than it presently is? Of course. But I don’t believe that it will be due to any of the points you’ve brought up in your “analysis”. Again, I think you’ve taken data points in NVDA operations and centered on “what if” scenarios that MIGHT happen but actually have very low chances of occurring.

My opinion is that If NVDA DOES “blow up” and the share price craters, it will be due to market circumstances outside NVDA’s control, and not the way NVDA is running its business.

Now - you have a nice day!

And by the way, this is my last comment and response to your lecturing. Do whatever you want, but I consume what I want and I give value to whichever analysis I choose. I am sick and tired of the suit-and-tie 'experts' who break their necks trying to tell us a stock will shoot to the moon when it’s clearly in a massive bubble. This lady simply explains everything perfectly, plain and simple

First of all, I am not the lady behind the Fortress Report—I am simply a subscriber who actually bothers to read deep-dive forensics instead of chasing FOMO charts.

Secondly, who cares where a high-quality analysis is posted? Good data is good data, whether it’s found on a penny stock forum or buried in an SEC footnote. I spend thousands on polished Wall Street research that says absolutely nothing. If someone brings institutional-grade analysis here for free, I’m going to read it and discuss it. If you prefer superficial forum noise over serious balance sheet metrics, that's your choice.

Really.

Our Fortress Report is built for professional investors who understand the mechanics of the market, which is a world apart from the FOMO-driven trading mentality.

Is that why you're here - on a penny stock forum? That's really what iHub was made for. Penny stock investment. Sure, there's all kinds of stocks covered on iHub. But for the most part, the investors coming to iHub are small time.

But you're here to educate "professional investors"??

I don't see iHub as being overrun with a lot of those. But whatever.

Feel free to keep following the suits and their narratives. But mark this: when this cycle inevitably ends in a crash—as they all do—I will still be here. Many of those currently pushing these interests will have long since vanished, leaving those who followed them blindly with no explanation.

I remember the 2000 crash, and I know exactly how price manipulation works. Back then, it was actually harder to orchestrate than it is today. Now, there are structural mechanisms in place against which the average retail trader stands zero chance. I am convinced that the 'casino' allows you to collect crumbs only to entice you to put even more capital at risk. It’s the oldest trick in the book—the way professional sharks treat an amateur sitting at their poker table.

I wouldn't wish that scenario on anyone, but I know from experience that it is exactly how this plays out. I’m not playing to win a hand today; I’m playing to be standing when the house of cards falls.

As far as we are concerned, everything that needed to be said has been said. We offered a sober alternative based on fundamental analysis. You, on the other hand, offer nothing but childish slogans: 'this is going to the moon,' 'the sky is the limit,' etc. Unfortunately, these are nothing more than empty phrases—devoid of any core, substance, or professional logic.

Ok. Thanks LOL. You must work for ef Hutton. No one is listening

The fundamental difference here is that we are investors, not gamblers at a roulette table betting on red or black. Our Fortress Report is built for professional investors who understand the mechanics of the market, which is a world apart from the FOMO-driven trading mentality. That is a legitimate pursuit for some, and everyone is free to do as they wish with their own capital—we have no issue with that.

Our disagreement isn't about whether Nvidia is a 'good' or 'bad' company; no one is disputing that it is an elite-tier corporation. Our focus is entirely on the future and the long-term sustainability of their margins. We invest based on structural fundamentals, not speculative momentum. We are building a fortress for the long haul, not playing a game of chance.

I’ll keep my forensic data.

Go right ahead. But don't forget - The "price action" is what makes people MONEY. Your "forensic data" that you've been touting for YEARS? If investors had heeded your advice generated by your "forensic data", they would have either SOLD and LOST MONEY or not bought into NVDA and missed out on MAKING money.

The point is your "forensic data" apparently isn't worth crap. Because you've been touting it for over two YEARS and yet, the share price of NVDA is hundreds of dollars HIGHER.

Now after those two years, you expect people to find value in your opinions using more "forensic data"??

LOL! Good luck.

You are confusing 'investing' with 'winning the lottery.' I have zero interest in gambling on narratives or riding a speculative cycle to chase a quick dollar. I analyze businesses for their long-term solvency and structural integrity. If you want to play the slots, that’s your business—but don't call it 'investing.' We clearly aren't playing the same game

You keep talking about 'investing' and 'being right' based on price action, completely missing the mechanics of how this game is actually played.

When the 'big fish' set a narrative and drive prices, they aren't just 'investing'—they are operating with visibility and tools that retail traders can only dream of. They have full sight of the order flow; they know exactly where your stop-losses are sitting, how much liquidity is entering, and when to squeeze it. If you aren't part of that 'band,' you aren't a partner in the growth—you’re the liquidity that keeps the engine running.

This isn't about 'fear'; it’s about acknowledging who holds the cards. You think you’re holding a stock because of 'fundamentals.' You’re actually holding a position that the market makers have already calculated down to the last cent. As long as the narrative holds, the price stays up. When they decide to pivot to the next trade, they don't care about your 'long-term investment'—they will dump it into the liquidity you provided.

It’s the oldest story on Wall Street: the retail crowd provides the exit for the institutions, and they do it while patting themselves on the back for being 'smart' investors.

You’re not 'undeniably right' because the price is up; you’re just currently on the winning side of a managed cycle. I’m not interested in being part of the 'collateral damage' when that cycle inevitably changes. You can keep your 'good investment' and your illusions—I’ll keep my forensic data.

LOL. Ok. Keep shorting.

You’re not doing “forensic accounting.” You’re just stitching together unrelated datapoints and calling it a thesis.

Receivables + inventory + hyperscaler incentives aren’t some magic trifecta that reveals hidden collapse. If you actually understood how Nvidia’s revenue cycle works, you’d know:

DSO + inventory rising during a generational product transition is normal. Every major hardware cycle shows the same pattern — including AMD, Intel, Broadcom, Qualcomm, and even Apple during iPhone supercycles. Calling it “channel stuffing” without evidence is just recycling the Enron-era boogeyman.

Your “circular cash flow” theory isn’t supported by filings. If Nvidia were secretly recycling capital to customers, it would show up in related-party receivables, debt facilities, or off-balance-sheet arrangements. None of those exist at the scale you’re implying. You’re inventing a loop that isn’t in the 10-K.

Hyperscalers cutting spend isn’t a revelation — it’s already priced into every analyst model. Yet even with conservative assumptions, Nvidia’s margins, utilization rates, and backlog remain historically strong. You’re acting like you discovered a risk no one has ever heard of.

ASICs and TPUs aren’t “overnight” threats. If they were, hyperscalers wouldn’t be signing multi-year infrastructure commitments or co-developing platforms with Nvidia. You’re treating long-cycle capex decisions like they flip on a dime.

You keep calling this “data,” but none of your claims match what’s actually in the filings. You’re taking normal operational patterns, labeling them as red flags, and pretending that makes you the lone realist in the room.

There’s a difference between scrutiny and storytelling.
Right now, you’re doing the second one.

But I have no doubt you'll still come up with far-fetched theories based on your manipulated data.

Bottom line is we WILL SEE who is correct here. Time WILL tell. So far over the last two years (over actually) since you started posting on NVDA - YOU HAVE BEEN WRONG. NVDA has been a GOOD INVESTMENT for those that bought and held. This is UNDENIABLE. All that time, if people had heeded your constant warnings and did not buy (or sold their shares) in NVDA, they would have lost a LOT OF MONEY.

This is not to say that if some horrific event happens in the world (nuclear attack, US default, China/Taiwan invasion, etc), that NVDA won't go down. The difference is that ALL the worlds' stocks will crater. It won't be because there's problems at NVDA itself.

Introductory Macroeconomic Overview
When WE published our preliminary reviews of NVIDIA Corporation (Ticker: NVDA) in April and May 2026, our primary objective was to expose the superficiality of the consensus market narrative. Today, in late June 2026, as market euphoria is mechanically sustained, the time has come to deliver a definitive, institutional synthesis.

By cross-referencing our original core theses with the latest regulatory disclosures from Q1 Fiscal 2027 (quarter ended late April 2026), WE deconstruct a business model that corporate media presents as bulletproof. The market currently demands absolute perfection from this valuation, willfully ignoring asymmetric tail risks. Our mission remains constant: ignore the noise and read the raw numbers hidden deep within the footnotes.

I. The Manufacturing Illusion and Asymmetric Geopolitical Monopoly
One of the most pervasive misconceptions running through the investment community—which professional circles are well aware of but seldom voice during a structural boom—is the perception of NVIDIA as a vertically integrated manufacturing powerhouse. NVIDIA owns zero fabrication facilities. It operates on a pure fabless model, where all physical operational execution, advanced lithography, and packaging risks are externalized to third-party partners.

The structural vulnerability lies in the total absence of supply chain diversification. The absolute survival of the Blackwell 300 architecture, alongside the upcoming Vera Rubin platform, depends one hundred percent on a single point on the global geopolitical map: TSMC (Taiwan Semiconductor Manufacturing Company).

This extreme concentration creates an asymmetric bottleneck. Chatting about massive revenue growth in the Data Center segment (which now commands over 91% of the total revenue mix) means very little if the market refuses to price in the probability of escalation in the Taiwan Strait. Any administrative or military shift in East-West dynamics would instantly halt deliveries, leaving NVIDIA with cutting-edge blueprints that no other entity on earth can physically materialize.
https://mirjanagarison.substack.com/p/beyond-the-golden-veil-of-euphoria

Calling this 'fear-based' is a convenient way to dismiss a forensic balance sheet analysis. You’re trading off consensus narratives; I’m trading off what’s actually recorded in the filings. Let’s address your 'scrutiny':

On Receivables & Cash Flow: You claim DSO is 'stable' and 'no vendor financing' exists. I suggest you take a closer look at the related-party transactions and the credit terms extended to smaller cloud providers. Massive cash flow is meaningless if it’s derived from capital that the company effectively recycled back to its customers. That’s not 'cash flow'—that’s a circular loop.

On Inventory: Calling a massive buildup 'normal for product transitions' is the oldest excuse in the book. When supply is 'greater than demand', you don't see record inventory levels piling up alongside record accounts receivable. That is the classic signature of channel stuffing, and history is littered with 'high-growth' companies that used this exact excuse right before the cliff.

On Hyperscaler 'Safety': You call them the 'safest payers in existence.' I don't dispute their ability to pay—I dispute their incentive to keep spending. When their own shareholders demand actual AI-driven ROI, those 'safe' hyperscalers will cut the cord instantly. They aren't loyal to Nvidia; they are loyal to their own margins.

You mention AMD, TPUs, and export controls as 'risks'—I agree with you there. But you treat them as external variables, while I see them as structural threats to Nvidia's pricing power. If the hyperscalers move to their own ASICs, Nvidia’s current premium multiple vanishes overnight.

I’m not trading 'fear.' I’m trading 'data.' If you want to believe the valuation is justified, that’s your right—but don’t mistake a cyclical peak for a permanent state of grace. We’ll see who’s reading the footnotes right when the cycle turns.

Let's take it point by point, shall we?

1. “Accounts Receivable are growing faster than revenue ? vendor financing ? fake demand.”

This is factually incorrect when you look at NVDA’s actual cash flow statements.

Across the last several years:
A. Operating cash flow has exceeded net income, often by tens of billions.
B. Accounts receivable have not ballooned relative to revenue; they move proportionally with shipment volume.
C. Nvidia’s DSO (days sales outstanding) has remained stable and low compared to other mega-caps.
D. Nvidia does not provide vendor financing to hyperscalers — hyperscalers pay fast, often faster than enterprise customers.

Why your claims fail:

* Hyperscalers (MSFT, AMZN, META, GOOG) are AAA-grade payers with extremely short payment cycles.
* Nvidia’s customers are not small OEMs who need financing; they are trillion-dollar companies with cash piles.
* Nvidia’s cash conversion cycle is one of the strongest in the S&P 500.
* If NVDA were “financing its own demand,” you would see:

a. exploding receivables
b. negative operating cash flow
c. rising bad-debt allowances

None of these appear in Nvidia’s filings.



2. “Inventory buildup ? channel stuffing ? demand collapse coming.”

You obviously misunderstand how NVDA's supply chain actually works:

Nvidia:

A. does not hold large finished-goods inventory
B. ships just-in-time to hyperscalers
C. has extremely short inventory cycles because demand exceeds supply

When inventory rises at Nvidia, it usually means:

D. new product ramps (e.g., H200, B200, Blackwell)
E. strategic buffer stock to reduce lead times
F. transition periods between architectures

Inventory rising during a product transition is normal and often bullish — it means Nvidia is preparing for a massive shipment wave.

The hyperscaler CAPEX argument is also flawed!

Hyperscaler CAPEX is not “fatiguing” — it is:

a. at record highs
b. shifting from general compute to AI infrastructure
c. increasingly front-loaded for multi-year AI buildouts

Even when hyperscalers “slow CAPEX,” they often reallocate toward AI accelerators, not away from them.



3. “Counterparty risk — hyperscalers may default ? receivables become bad debt.”

This is the weakest claim of your three points.

Hyperscalers are:

A. Microsoft
B. Amazon
C. Google
D. Meta

These are:

E. the most creditworthy corporate entities on Earth
F sitting on hundreds of billions in cash
G. generating tens of billions in quarterly free cash flow

The idea that Nvidia faces “counterparty risk” from hyperscalers is economically nonsensical.

If hyperscalers ever defaulted on Nvidia:

a. the global financial system would already be in collapse
b. Nvidia’s receivables would be the least of anyone’s concerns

This is not a real risk.

Your post treats Nvidia Like a Cyclical Hardware Vendor
You talk about Nvidia as if it were:

c. a PC GPU maker
d. dependent on channel partners
e. exposed to credit cycles

But Nvidia’s AI business is:

f. prepaid or short-cycle
g. sold to the largest cash-rich companies in the world
h. constrained by supply, not demand
i. tied to multi-year infrastructure buildouts
j. increasingly software-monetized (CUDA, NIM, DGX Cloud, Enterprise AI)

This is not a “credit bubble.”
It is a capacity-constrained infrastructure supercycle.

Your post ignores the actual risks, which are:


1. Competition: AMD MI300/400, custom ASICs, Google TPU, AWS Trainium/Inferentia.

2. AI ROI uncertainty: If enterprises fail to monetize AI, spending could slow.

3. Export controls: China restrictions reduce a historically large market.

4. Supply chain concentration: TSMC dependency.

5. Valuation risk: NVDA trades at a premium multiple.

Your whole post is FEAR BASED!

Each of your Red Flags collapse under scrutiny:

1. Receivables rising - Fake demand. The reality is that cash flow is MASSIVE, DSO is stable, no vendor financing.
2. Inventory Build up - Channel stuffing. The reality is that that is NORMAL for product transitions, Demand is GREATER than SUPPLY.
3. Hperscaler Party Risk. HA! The reality is that the hyperscalers in this case are the safest corporate payers in EXISTENCE!

I’m sharing our original deep-dive analysis from April 2026. Everything we are discussing now—the cracks in the structural integrity, the concentration risk, and the circular credit loops—was already identified months ago.

We don't react to market noise; we analyze the footnotes. Here is the foundation of our thesis, which has been consistent from day one.
-----------------------------------------------------------------------------------------------------------------

Conclusion: SELL Rating

In our opinion, the current stock price already factors in years of growth while ignoring risks. We saw a similar scenario during the dot-com bubble of 2000, where firms like Amazon or Microsoft fell like stones and stayed there for years despite good revenues. Given the uncertainty surrounding the Middle East conflict (Iran), oil prices above $100, and the risks mentioned above, our 12-month target price is:

$ 118.02 (€ 103.12)

The numbers do not lie; they are simply waiting to be read. Transparency is the foundation of any honest investment.

Read the Full Analysis > https://www.linkedin.com/pulse/can-nvidia-sustain-fulminant-growth-mirjana-garison-emphf/?trackingId=JEyArcoRSACrwr3md9eWUQ%3D%3D

I have no doubt these Harvard / Yale educated analysts know what they’re doing. Thanks

To all the 'Buy-the-Dip' crowd and the 25 analysts fueling this rally:

You are looking at price targets and growth narratives; I am looking at the structural integrity of the balance sheet. Nvidia isn't just selling chips—they are running a massive credit expansion disguised as a tech revolution.

In the next quarter, ignore the 'Revenue' headline. Focus on these three red flags that the analysts won't tell you about:

Accounts Receivable vs. Revenue: If receivables continue to grow faster than reported revenue, you aren't looking at real cash flow—you are looking at Nvidia financing its own demand through 'vendor financing' to keep the growth narrative alive.

Inventory Velocity: Keep a close eye on the inventory buildup. If goods are piling up in the channel while the 'hyperscalers' (Microsoft, Meta, Google, Amazon) show signs of CAPEX fatigue, the music is about to stop.

The 'Counterparty' Risk: The analysts are ignoring the creditworthiness of the very entities funding this boom. When these hyperscalers realize their AI investments aren't yielding the promised returns, the 'Accounts Receivable' will turn into bad debt faster than you can hit the 'sell' button.

The 25 analysts recommending a 'Strong Buy' are incentivized to maintain access to management, not to protect your capital. They are cheerleaders for a cycle that is already showing cracks.

I’m not trading opinions. I’m waiting for the footnotes to reveal the reality that the CNBC headlines are hiding. When the circular credit loop hits a wall, the 'bottom' won't be found on your charts—it will be found in the write-downs.

Trade the narrative if you want; I’ll stick to the forensics.

If you truly want to trust those 25 analysts, answer me one question: How many of them have actually read the 'Concentration of Credit Risk' section in the latest 10-K?

They are reporting billions in 'Revenue', but look at the Accounts Receivable footnote. A massive chunk of that 'revenue' is not cash—it’s credit extended to a handful of 'customers' whose own balance sheets are entirely dependent on their ability to raise capital.

We aren't talking about diversified retail sales here. We are talking about a highly circular credit loop where Nvidia essentially finances its own demand to keep the growth narrative alive. When those few counterparties hit a liquidity wall—and they will, because they have no profit to back their spending—those 'Accounts Receivable' will either become bad debt or have to be written down.

Tell me, which of those 25 analysts has modeled the impact of a 20% write-down on those specific receivables? None. Because they aren't researchers; they are cheerleaders for the status quo. I’ll stick to the footnotes, thanks.

25 out of 26 analysts have buy / strong buy ratings. JP Morgan and others. 360 dollar price target. I think I’ll trust them

Where do you see the bottom ?

I’ve been reading a lot of noise on this thread about 'momentum' and personal portfolios. Frankly, I was skeptical too, until I came across this piece of analysis. It’s not about guessing where the stock goes next—it’s about the raw numbers hidden in the footnotes.

Since many people here seem to be ignoring the underlying structural risks, I think the readers of this thread deserve to see the reality behind the narrative. I’m sharing this in its entirety because, for me, it was a 'lightbulb moment' regarding NVDA’s actual business model.

Read it, digest the numbers, and if anyone has a factual accounting argument to refute what's written here, I’m all ears
https://mirjanagarison.substack.com/p/beyond-the-golden-veil-of-euphoria

It is interesting that you choose to lead with your portfolio 'credentials' rather than addressing the substance of the accounting risks I've highlighted. On forums, people often use their personal trading history as a substitute for valid due diligence.

While you are busy trying to impress the thread with your 'long-term' status and BlackBerry analogies, you’ve managed to completely ignore the fact that Nvidia’s current capital expenditure cycle is being heavily subsidized by the company itself through the 'Vendor Financing' mechanisms I mentioned.

Whether you’ve held the stock since 2009 or 2026 is irrelevant to the balance sheet. If you want to be treated as an expert, stop pointing at your gains and start explaining how a company maintains a 75% gross margin while its primary buyers are liquidity-constrained entities fueled by its own capital. I’m waiting for an accounting argument, not a portfolio snapshot.

Hopefully Trump will buy 2 million shares

Not a good feeling to watch this go from $238 to most likely the $180 range.
Jensen has his work cut,out for him .
I believe July will be a much better month for NVDIA.

How low do we go ? This is not good