Qumulo Redefines AI Infrastructure Efficiency with Azure Native Qumulo: Achieves Industry-Leading Benchmark Results
2024年6月18日 - 2:04AM
ビジネスワイヤ(英語)
Today, Qumulo, the simple way to manage exabyte-scale data
anywhere, announced the industry’s fastest and most cost-effective
cloud-native storage solution, as demonstrated by the latest
SPECstorage® Solution 2020 AI_IMAGE Benchmark result. Qumulo’s
Azure Native Qumulo (ANQ) achieved an Overall Response Time (ORT)
of 0.84ms with a total customer cost of just $400 for a 5-hour
burst period.
Deploying cost-effective AI training infrastructure in the
public cloud requires transferring data from inexpensive and
scalable object storage to limited and expensive file caches. This
results in added complexity and up to 40% GPU idle time, as data is
being staged from object storage into local file caches.
ANQ acts as an intelligent data accelerator for the object
store, executing parallelized, prefetched reads served directly
from the Azure primitive infrastructure via the Qumulo filesystem
to GPUs running AI training models. This innovative architecture
improves GPU-side performance by accelerating load times between
the object layer and the filesystem, fundamentally transforming how
file-dependent AI training in the cloud should be architected.
Benchmark-Proven Performance and Cost Efficiency
The SPECstorage® Solution 2020 AI_IMAGE Benchmark results
underscore ANQ’s superior performance and cost efficiency, as noted
in our blog. Key highlights include:
- Achieving an ORT of 0.84ms at 700 jobs, the fastest benchmark
of its kind run on Microsoft Azure infrastructure.
- Utilizing a SaaS PAYGO model, metering stops when performance
isn’t needed, resulting in a cost of ~$400 list pricing to run the
benchmark.
Three things set ANQ apart from other cloud-native file
solutions offering AI solutions for their customers:
- True Elastic Scalability: ANQ allows customers to focus on
business and technology concerns, rather than cloud-native storage
infrastructure. Storage performance scales with the AI application
stack demands, saving costs when there is no demand. Unlike other
cloud file systems, ANQ operates without pre-provisioned
volumes.
- Disruptive Pricing: Qumulo passes cloud economics savings
directly to customers. The pricing model is based on actual storage
usage (GB) and performance needed (throughput and IOPs), without
the need for pre-provisioned capacity.
- Linear Performance Scaling: ANQ’s architecture ensures that
performance increases linearly as workloads increase. With an
average cache-hit ratio higher than 95%, ANQ accelerates GPU-side
scalability and performance, bypassing load times between the
object layer and the filesystem.
To learn more about Qumulo, Scale Anywhere Data Management and
Storage for the edge, the data center, and the cloud, visit
www.qumulo.com.
About Qumulo, Inc.
Qumulo delivers the world’s first unified Scale AnywhereTM
platform for the hybrid enterprise and is a six-time leader in
Gartner’s Distributed File and Object Storage Magic Quadrant.
Qumulo is a 100% software solution that scales to exabytes anywhere
unstructured data is created, consumed, stored, or managed, so
businesses can operate a common platform. reducing CapEx and OpEx
while moving ever faster.
Qumulo, Scale Anywhere and the Qumulo logo are registered
trademarks or trademarks of Qumulo, Inc. All other marks and names
herein may be trademarks of other companies. Copyright © 2023. All
Rights Reserved.
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version on businesswire.com: https://www.businesswire.com/news/home/20240617670084/en/
Connect Marketing Sherri Walkenhorst
sherriw@connectmarketing.com