US Market News
1月前
DigitalOcean Unveils AI-Native Cloud Built for the Inference EraApril 28, 2026 4:30 PM
Business Wire
AI workloads have outgrown the clouds built for the last era. DigitalOcean’s AI-Native Cloud brings agents, data, inference, cloud primitives, and cloud infrastructure together in one integrated stack, helping builders start fast, scale production workloads, and improve unit economics without stitching together fragmented services.
DigitalOcean (NYSE: DOCN) today introduced the DigitalOcean AI-Native Cloud, the first cloud built end-to-end for the inference and agentic era. The integrated platform spans five layers: infrastructure, core cloud, inference, data, and managed agents, and is already running production workloads at Higgsfield AI, Hippocratic AI, ISMG, Bright Data, and LawVo. The platform debuts at Deploy 2026, the company's conference for builders, and is available to customers today.
AI-native builders are caught between imperfect options: hyperscalers built for the enterprise cloud era, with complex services and unpredictable costs, and newer GPU clouds that rent bare metal and tokens, but leave teams to assemble the surrounding platform themselves. Both approaches add complexity when AI companies need to move faster, control costs, and scale production AI efficiently. DigitalOcean’s AI-Native Cloud is purpose-built for production AI, bringing the full AI application stack together with the best of the AI ecosystem into one, developer-first platform.
AI workloads have outgrown the last era's cloud
The DigitalOcean AI-Native Cloud is engineered for the four shifts redefining production AI: the rise of inference over training, reasoning models as the default, autonomous agents at scale, and open-source models reaching quality parity at a fraction of the cost.
These shifts change what infrastructure has to do. A typical agentic task can consume hundreds of model calls, hundreds of database queries, and over a million tokens. 50 to 90% of that workload runs on CPUs, not GPUs, requiring orchestration, sandboxes, state, and tool calls. Agentic systems consume approximately 4x more CPU capacity than equivalent traditional workloads, and consume 15x more tokens than human users.
DigitalOcean's answer: a five-layer stack, from infrastructure to agents
Five layers, one integrated platform, enabling builders to spend their time on AI, not on stitching disparate services and infrastructure together:
Managed Agents: Open agent harness support, secure sandboxes, durable state management, and agent orchestration.
Data and Learning: PostgreSQL with pgvector, Valkey, Knowledge Bases, and real-time data capabilities.
Inference Engine: Serverless and dedicated endpoints, batch processing, an intelligent model router, a growing model catalog, and bring-your-own-model support, with custom vLLM forks, tuned KV-cache, speculative decoding, and GPU-aware scheduling under the hood.
Core Cloud: Kubernetes (DOKS), CPU and GPU Droplets, VPC networking, and S3-compatible object, block, and file storage.
Infrastructure: 20 global data centers of CPU and GPU capacity purpose built for AI, including owned NVIDIA H100, H200, and HGX™ B300 and AMD Instinct™ MI300X, MI350X, and MI355X GPUs on a 400G RoCE RDMA fabric, backed by 15 years of operating cloud at scale for more than 640,000 customers.
Across the platform, DigitalOcean's analysis of a representative 1M-bookings/month corporate-travel agent workload prices the AI-Native Cloud at $67,727 per month, compared to $84,827 on Baseten + AWS and $110,337 on AWS AgentCore. That 20-40% savings comes with no egress fees between layers and transparent, consumption-based pricing.
Open source throughout the stack, frontier models when you need them, bringing builders the best of the AI ecosystem
DigitalOcean’s AI-Native Cloud supports open standards and open-source technologies at every layer, because lock-in is the single biggest tax on AI builders today: OpenCode and LangGraph for agent harnesses; PostgreSQL, MySQL, pgvector, and Qdrant for data; DeepSeek, Llama, Qwen, and NVIDIA Nemotron 3 Nano Omni alongside frontier closed models like Claude and GPT for inference; and Kubernetes, Cilium, and S3-compatible storage at the cloud primitive layer. Customers can mix open and closed models in a single application, route between them dynamically, and switch when something better ships — without rewriting their stack.
"Open models are giving builders more choice in how they build AI applications," said Kari Briski, Vice President of Generative AI Software at NVIDIA. "AI companies need agents that can run continuously and improve over time. Our work with DigitalOcean brings NVIDIA Nemotron models to an open, full-stack platform that gives developers the infrastructure to build, deploy, and scale real-world AI applications more easily."
Customers are improving performance and unit economics on DigitalOcean’s AI-Native Cloud
AI teams see these platform gains translate into production outcomes. Information Security Media Group (ISMG) cut infrastructure costs over 5x by consolidating on DigitalOcean. Different workloads, different stakes, same platform. Bright Data scaled from 4,000 Droplets to 75,000 vCPUs in eight months while moving 765 petabytes of egress in a single month. And Higgsfield AI runs the multi-model creative workflows powering its consumer product on DigitalOcean's integrated stack:
“At Higgsfield, we are building for a world where AI-generated content becomes part of everyday creative work. That requires more than access to GPUs or models; we need an AI-native platform that can support fast iteration, multi-model workflows, and production scale,” explained Alex Mashrabov, CEO & Co-founder, Higgsfield AI. “DigitalOcean's integrated cloud provides the infrastructure, inference, and simplicity we need to move quickly while staying focused on the creative experience for our users.”
Delivering the AI-Native Cloud with notable launches
The AI-Native Cloud arrives with 15+ new general availability and preview launches across the stack, detailed here. Highlights include:
Inference Router: Developers define a model pool, describe tasks and priorities in natural language mapped to a model, and optimize each request for cost and latency. Powered by DigitalOcean’s purpose-built MoE (Mixture of Expert) router model, Early customers like LawVo, a legal-tech platform, runs 130+ AI agents against 500M+ tokens per week with a 42% inference cost reduction after switching with zero code changes.
Bring Your Own Model with Dedicated & Batch Inference: Run custom or fine-tuned models across Serverless, Dedicated, or Batch Inference on the same OpenAI-compatible API. Dedicated Inference offers reserved per-GPU-hour pricing; Batch Inference cuts costs up to 50% with a 24-hour completion window.
Expanded Models and Services: 70+ open-source and frontier models with day-zero access, discoverable through a centralized Model Catalog with clear pricing, performance, and hardware insights. New additions include NVIDIA Nemotron 3 Nano Omni (first on DigitalOcean), DeepSeek V3.2, Llama 3.3 70B, Qwen 3.5, and MiniMax M2. New Evaluations and Guardrails services round out production safety and quality monitoring.
Knowledge Bases: A complete RAG pipeline exposed as an MCP tool. A RAG-native SaaS customer moved from prototype to production in nine days, with answer accuracy jumping from 71% to 94%.
Managed Weaviate: A fully managed vector database for production AI workloads, with native integration to Knowledge Bases and the Inference Engine, eliminating the operational overhead of self-hosting Weaviate at scale.
A market measured in trillions of tokens
By 2030, the world is projected to process more than 500 trillion inference tokens per day, up from ~50 trillion today, a 10x increase in under five years. DigitalOcean is targeting three workload patterns with the AI-Native Cloud: Cloud-Native SaaS adding AI features; AI-Native products where every interaction burns tokens; and Agent-Native systems running autonomously in long loops.
“AI has moved from thinking to doing, and that changes what builders need from the cloud. AI-native companies are no longer building simple applications that make a single model call; they are building distributed, stateful, multi-agent systems that need infrastructure, inference, data, orchestration, and agents working together,” said Paddy Srinivasan, CEO, DigitalOcean. “DigitalOcean’s AI-Native Cloud brings those layers together on one integrated platform so teams can move faster, scale production AI, and focus on their products instead of stitching infrastructure together.”
Build, deploy, and scale AI-native applications on the cloud built for the Inference Era. Builders can get started today with new GA and public preview products, or request access to private previews on the DigitalOcean AI-Native Cloud.
About DigitalOcean
DigitalOcean (NYSE: DOCN) is the AI-Native Cloud — a fully integrated platform spanning infrastructure, core cloud, inference, data, and managed agents, purpose-built for the workloads defining modern software. Serving more than 640,000 customers across 20 data centers in 5 global regions, DigitalOcean gives builders everything they need to ship production AI on one open platform with no lock-in. Learn more at digitalocean.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260428061753/en/
Media Relations
Meghan Grady
press@digitalocean.com
Investor Relations
Radu Patrichi, CFA
investors@digitalocean.com
Original: DigitalOcean Unveils AI-Native Cloud Built for the Inference Era
US Market News
2月前
DigitalOcean Announces Pricing of Upsized Public Offering of Common StockMarch 25, 2026 8:52 AM
Business Wire
DigitalOcean Holdings, Inc. (NYSE: DOCN), the Agentic Inference Cloud built for production AI, announced today the pricing of an upsized underwritten offering (the “Offering”) of 10,389,611 shares of its common stock for total gross proceeds of approximately $800 million. DigitalOcean has granted the underwriters a 30-day option to purchase up to an additional 1,558,441 shares of common stock at the public offering price, less the underwriting discounts and commissions. The size of the Offering was increased from the previously announced $700 million of shares of common stock. The Offering is expected to close on March 26, 2026, subject to customary closing conditions.
DigitalOcean intends to use the net proceeds from the Offering (i) to make investments in additional infrastructure capacity, beyond what it has previously communicated, to support customer demand for DigitalOcean’s cloud / AI platform, (ii) to strengthen its balance sheet by paying down its existing Term Loan A, and (iii) for general corporate purposes. DigitalOcean is in advanced discussions to secure this additional data center capacity to support its growth.
J.P. Morgan, Morgan Stanley and BofA Securities are acting as joint book-running managers for the Offering. Goldman Sachs & Co. LLC, Citizens Capital Markets and MUFG are acting as bookrunners for the Offering. KeyBanc Capital Markets is acting as a co-manager for the Offering.
The Offering is being made pursuant to DigitalOcean’s effective shelf registration statement on Form S-3, including a base prospectus, filed with the Securities and Exchange Commission (the “SEC”) and a prospectus supplement relating to the Offering. Copies of the preliminary prospectus supplement and accompanying base prospectus and, when available, copies of the final prospectus supplement and accompanying base prospectus, related to the Offering may be obtained, free of charge, at the SEC’s website at www.sec.gov or by contacting J.P. Morgan Securities LLC, Attention: c/o Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY 11717, or email: prospectus-eq_fi@jpmchase.com and postsalemanualrequests@broadridge.com, Morgan Stanley & Co. LLC, Attn: Prospectus Department, 180 Varick Street, 2nd Floor, New York, NY 10014, or BofA Securities, Inc., NC1-022-02-25, 201 North Tryon Street, Charlotte, North Carolina 28255, Attention: Prospectus Department or by email at dg.prospectus_requests @Georgia Bard-294-1322.
This press release is neither an offer to sell nor a solicitation of an offer to buy any of these securities nor shall there be any sale of these securities in any state or jurisdiction in which such an offer, solicitation or sale would be unlawful prior to the registration or qualification thereof under the securities laws of any such state or jurisdiction.
About DigitalOcean
DigitalOcean is the Agentic Inference Cloud built for AI-native and Digital-native enterprises scaling production workloads. The platform combines production-ready GPU infrastructure with a full-stack cloud to deliver operational simplicity and predictable economics at scale. By integrating inference capabilities with core cloud services, DigitalOcean’s Agentic Inference Cloud enables customers to expand as they grow — driving durable, compounding usage over time. More than 640,000 customers trust DigitalOcean to power their cloud and AI infrastructure.
Forward-Looking Statements
This press release includes forward-looking statements within the meaning of Section 27A of the Securities Act and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding, among other things, the expected closing date of the Offering, the intended use of proceeds from the Offering and DigitalOcean’s plans and expectations regarding securing additional data center capacity and its growth. Forward-looking statements represent DigitalOcean’s current expectations regarding future events and are subject to known and unknown risks and uncertainties that could cause actual results to differ materially from those implied by the forward-looking statements. Among those risks and uncertainties are market conditions, including the trading price and volatility of the common stock and risks relating to DigitalOcean’s business, including those described under the caption “Risk Factors” and elsewhere in DigitalOcean’s filings with the SEC, including in its Annual Report on Form 10-K for the fiscal year ended December 31, 2025, filed with the SEC on February 24, 2026, and the future quarterly and current reports that DigitalOcean files with the SEC. DigitalOcean may not consummate the Offering described in this press release and, if the Offering is consummated, cannot provide any assurances regarding its ability to effectively apply the net proceeds as described above. The forward-looking statements included in this press release speak only as of the date of this press release, and DigitalOcean does not undertake to update the statements included in this press release for subsequent developments, except as may be required by law.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260325136610/en/
Media Contact
Meghan Grady: press@digitalocean.com
Investor Contact
Radu Patrichi: investors@digitalocean.com
Source: DigitalOcean
Original: DigitalOcean Announces Pricing of Upsized Public Offering of Common Stock
US Market News
2月前
DigitalOcean Announces Proposed Public Offering of Common StockMarch 24, 2026 4:22 PM
Business Wire
DigitalOcean Holdings, Inc. (NYSE: DOCN), the Agentic Inference Cloud built for production AI, announced today that it has commenced an underwritten public offering of $700,000,000 of its shares of common stock (the “Offering”). Additionally, DigitalOcean intends to grant the underwriters a 30-day option to purchase up to an additional $105,000,000 of shares of common stock from DigitalOcean. The Offering is subject to market and other conditions, and there can be no assurance as to whether or when the Offering may be completed, or as to the actual size or terms of the Offering.
DigitalOcean intends to use the net proceeds from the Offering (i) to make investments in additional infrastructure capacity, beyond what it has previously communicated, to support customer demand for DigitalOcean’s cloud / AI platform, (ii) to strengthen its balance sheet by paying down its existing Term Loan A, and (iii) for general corporate purposes. DigitalOcean is in advanced discussions to secure this additional data center capacity to support its growth.
J.P. Morgan, Morgan Stanley and BofA Securities are acting as joint book-running managers for the Offering.
The Offering is being made pursuant to DigitalOcean’s effective shelf registration statement on Form S-3, including a base prospectus, filed with the Securities and Exchange Commission (the “SEC”) and a prospectus supplement relating to the Offering. Copies of the preliminary prospectus supplement and accompanying base prospectus related to the Offering may be obtained, free of charge, at the SEC’s website at www.sec.gov or by contacting J.P. Morgan Securities LLC, Attention: c/o Broadridge Financial Solutions, 1155 Long Island Avenue, Edgewood, NY 11717, or email: prospectus-eq_fi@jpmchase.com and postsalemanualrequests@broadridge.com, Morgan Stanley & Co. LLC, Attn: Prospectus Department, 180 Varick Street, 2nd Floor, New York, NY 10014, or BofA Securities, Inc., NC1-022-02-25, 201 North Tryon Street, Charlotte, North Carolina 28255, Attention: Prospectus Department or by email at dg.prospectus_requests @Georgia Bard-294-1322.
This press release is neither an offer to sell nor a solicitation of an offer to buy any of these securities nor shall there be any sale of these securities in any state or jurisdiction in which such an offer, solicitation or sale would be unlawful prior to the registration or qualification thereof under the securities laws of any such state or jurisdiction.
About DigitalOcean
DigitalOcean is the Agentic Inference Cloud built for AI-native and Digital-native enterprises scaling production workloads. The platform combines production-ready GPU infrastructure with a full-stack cloud to deliver operational simplicity and predictable economics at scale. By integrating inference capabilities with core cloud services, DigitalOcean’s Agentic Inference Cloud enables customers to expand as they grow — driving durable, compounding usage over time. More than 640,000 customers trust DigitalOcean to power their cloud and AI infrastructure.
Forward-Looking Statements
This press release includes forward-looking statements within the meaning of Section 27A of the Securities Act and Section 21E of the Securities Exchange Act of 1934, as amended, including statements regarding, among other things, the completion, timing and size of the proposed Offering, the intended use of proceeds from the Offering and DigitalOcean’s plans and expectations regarding securing additional data center capacity and its growth. Forward-looking statements represent DigitalOcean’s current expectations regarding future events and are subject to known and unknown risks and uncertainties that could cause actual results to differ materially from those implied by the forward-looking statements. Among those risks and uncertainties are market conditions, including the trading price and volatility of the common stock and risks relating to DigitalOcean’s business, including those described under the caption “Risk Factors” and elsewhere in DigitalOcean’s filings with the SEC, including in its Annual Report on Form 10-K for the fiscal year ended December 31, 2025, filed with the SEC on February 24, 2026, and the future quarterly and current reports that DigitalOcean files with the SEC. DigitalOcean may not consummate the proposed Offering described in this press release and, if the proposed Offering is consummated, cannot provide any assurances regarding the final terms of the Offering or its ability to effectively apply the net proceeds as described above. The forward-looking statements included in this press release speak only as of the date of this press release, and DigitalOcean does not undertake to update the statements included in this press release for subsequent developments, except as may be required by law.
Source: DigitalOcean
View source version on businesswire.com: https://www.businesswire.com/news/home/20260324885794/en/
Media Contact
Meghan Grady: press@digitalocean.com
Investor Contact
Radu Patrichi: investors@digitalocean.com
Original: DigitalOcean Announces Proposed Public Offering of Common Stock
US Market News
4月前
DigitalOcean Announces Date of Fourth Quarter 2025 Earnings Conference CallFebruary 9, 2026 4:05 PM
Business Wire
DigitalOcean Holdings, Inc. (NYSE: DOCN), the agentic inference cloud, announced today that it will report financial results for the fourth quarter and full year ended December 31, 2025 and host an extended investor update before the market opens on Tuesday, February 24, 2026.
Following the earnings release, DigitalOcean will host an extended virtual earnings results and investor update featuring presentations from Paddy Srinivasan, Chief Executive Officer, and Matt Steinfort, Chief Financial Officer. In addition to the standard earnings update, the event will provide additional context on the company’s strategic priorities, product strategy and long-term growth outlook.
DigitalOcean’s earnings results and investor update will be webcast live on February 24, 2026, beginning at 8:00 a.m. ET / 5:00 a.m. PT and ending at 9:30 a.m. ET / 6:30 a.m PT, and will include a question-and-answer session addressing analyst and investor questions regarding the fourth quarter and full year results, as well as topics covered during the investor update. Investors and analysts may pre-register for the webcast at https://events.q4inc.com/attendee/812774949.
The earnings release, webcast link and any accompanying materials related to the investor update will be posted to the DigitalOcean investor relations website at http://investors.digitalocean.com. A live webcast and replay of the call will be accessible from the DigitalOcean investor relations website.
About DigitalOcean
DigitalOcean is an agentic inference cloud platform that helps AI and Digital Native Businesses build, run, and scale intelligent applications with speed, simplicity, and predictable economics. The platform combines production-ready GPU infrastructure, a full-stack cloud, model-first inference workflows, and an agentic experience layer to reduce operational complexity and accelerate time to production. More than 640,000 customers trust DigitalOcean to deliver the cloud and AI infrastructure they need to build and grow. To learn more, visit www.digitalocean.com.
View source version on businesswire.com: https://www.businesswire.com/news/home/20260209969257/en/
Investor Contact
Melanie Strate
investors@digitalocean.com
Media Contact
Julie Wolf
press@digitalocean.com
Original: DigitalOcean Announces Date of Fourth Quarter 2025 Earnings Conference Call
eastunder
12月前
DigitalOcean and AMD Collaborate to Advance AI Using Cloud-Based GPUs
https://www.businesswire.com/news/home/20250612003497/en/DigitalOcean-and-AMD-Collaborate-to-Advance-AI-Using-Cloud-Based-GPUs
NEW YORK--(BUSINESS WIRE)--DigitalOcean Holdings, Inc. (NYSE: DOCN), the simplest scalable cloud for digital native enterprises, today announced a collaboration with AMD that provides DigitalOcean customers with access to AMD Instinct™ GPUs as DigitalOcean GPU Droplets to power their AI workloads starting with the AMD MI300X GPUs. Later this year, DigitalOcean will offer AMD Instinct™ MI325X GPUs, further expanding access to powerful and affordable GPU models. AMD Instinct™ MI325X GPU accelerators set new AI performance standards, delivering incredible performance and efficiency for training and inference.
AMD Instinct MI300X GPUs deliver leadership performance for accelerated high-performance computing (HPC) applications and the newly exploding demands of generative AI. With the AMD ROCm™ software platform, customers can develop powerful HPC and AI production-ready systems faster than ever before. Its large memory capacity allows it to hold models with hundreds of billions of parameters entirely in memory, reducing the need for model splitting across multiple GPUs. By combining powerful AMD AI compute engines and DigitalOcean's cloud technologies, the collaboration aims to empower the massive community of digital native enterprises to integrate AI into their applications and support the most demanding AI workloads at scale.
These next-generation GPUs have already been available in bare metal configurations for customers seeking increased control and computing power. These GPUs are now also available as GPU Droplets or as DigitalOcean Kubernetes worker nodes. The GPU Droplets are available both as single and eight GPU configurations, allowing customers to optimize costs for their specific use cases.
Accessing these GPU Droplets through DigitalOcean offers several key benefits, including competitive pricing at $1.99/GPU per hour, a simple setup process, and enterprise-grade SLAs. While other cloud providers require multiple steps and deep technical knowledge to configure security, storage, and network requirements, DigitalOcean’s GPU Droplets can be set up with just a few clicks.
In addition to these new GPUs, customers will also have access to AMD Developer Cloud, a new platform powered by DigitalOcean that is purpose-built for rapid, high-performance AI development. Customers will have access to a fully managed environment that provides instant access to AMD Instinct MI300X GPUs—with zero hardware investment or local setup required. Whether fine-tuning LLMs, benchmarking inference performance, or building a scalable inference stack, the AMD Developer Cloud provides the tools and flexibility to get started instantly—and grow without limits.
“DigitalOcean’s collaboration with AMD is another proof point to make AI easily accessible to our customers,” said Bratin Saha, Chief Product & Technology Officer at DigitalOcean. “With access to AMD GPUs, DigitalOcean customers have an extensive portfolio of GPUs with the flexibility of the computing configuration that best suits their requirements.”
"At AMD, we are proud to work with DigitalOcean to provide developers with cutting-edge solutions for developer enablement and demanding workloads that require large amounts of memory,” said Negin Oliver, corporate vice president of business development, Data Center GPU Business, at AMD. “Together, AMD and DigitalOcean are committed to providing the critical innovative technologies required to support the evolving needs of growing tech businesses.”
To access AMD Instinct GPUs with DigitalOcean, visit the DigitalOcean website.
About DigitalOcean
DigitalOcean is the simplest scalable cloud platform that democratizes cloud and AI for digital native enterprises around the world. Our mission is to simplify cloud computing and AI to allow builders to spend more time creating software that changes the world. More than 600,000 customers trust DigitalOcean to deliver the cloud, AI, and ML infrastructure they need to build and scale their organizations. To learn more about DigitalOcean, visit www.digitalocean.com.
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