Leveraging their domain experience, Liftr helps
data centers forecast their power needs
AUSTIN,
Texas, May 2, 2024 /PRNewswire/ -- Liftr
Insights, a pioneer with over 5 years of market intelligence
experience, began offering power insights for data center
analysts.
Power-Hungry AI Chips Enhance Liftr
Services Portfolio
This comes aside news reports about the latest chips, such as
the NVIDIA H100, requiring more power than an average household and
warnings about the growing demand to support AI computing power
requirements. Each of the latest GPUs driving AI Training and AI
Inference require large amounts of power to produce the high
workload output. And hundreds of thousands more GPUs are on their
way into data centers.
Liftr® is using its domain expertise for sizing and scoping data
centers. Knowing what the public cloud providers (and niche AI
providers) are offering is valuable information for consultants
attempting to maximize the output for private data centers.
"Our services portfolio is a key part of analyst
considerations," says Tab Schadt, CEO of Liftr Insights. "Companies
and consultants can leverage the millions of dollars in research
that the public cloud providers have invested in where they spend
their AI funds."
Since OpenAI helped inspire the age of AI with the release of
ChatGPT, the demand for AI will only continue to grow. With that
growth will be more chips able to meet those demands. While the
performance per chip has and will continue to improve,
understanding the power needs is a critical component for any cost
and design analysis.
For example, Liftr can show a customer that their footprint for
H100's might require 828 kW for 100 servers even before factoring
other relevant costs. But, several variables can alter those
numbers as Liftr works with consultants on their specific
configurations and restrictions.
"By extending our information and domain knowledge into the
power and scoping side of the equation, we've opened new doors for
our clients," says Schadt. "As with AI, this is only the beginning.
More powerful insights still to come!"
About Liftr Insights
Liftr Insights generates reliable market intelligence using unique
data, including details about configurations, components,
deployment geo, and pricing for:
- Server processors: Intel Xeon, AMD EPYC, Aliyun Yitian,
AWS Graviton, and Ampere Computing Altra
- Datacenter compute accelerators: GPUs, FPGAs, TPUs, and AI
chips from NVIDIA, Xilinx, Intel, AMD, AWS, and Google
As shown on the Liftr Cloud Regions Map at
https://bit.ly/LiftrCloudRegionsMap, among the companies tracked
are Amazon Web Services, Microsoft
Azure, Alibaba
Cloud, Google Cloud, Oracle Cloud, Tencent Cloud, CoreWeave, Lambda, and
Vultr as well as semiconductor vendors AMD,
Ampere, Intel, and NVIDIA. Liftr Insights subject matter
experts translate company-specific service provider data into
actionable alternative data.
Liftr and the Liftr logo are registered service marks of
Liftr Insights. The following are trademarks and/or service marks
of Liftr Insights: Liftr Insights, Cloud Components Tracker,
Intelligence Compute Tracker, and Liftr Cloud Regions
Map.
The following are registered intellectual property marks,
trademarks, or service marks of their respective companies:
Amazon Web Services
Microsoft Azure
Alibaba Cloud
Google Cloud
Oracle Cloud
Tencent
Cloud
CoreWeave
Lambda
Vultr
Intel Corporation
Ampere Computing
NVIDIA
AMD
ARM
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SOURCE Liftr Insights