AMD Announces Ambitious Goal to Increase Energy Efficiency of Processors Running AI Training and High Performance Computing Applications 30x by 2025
September 29 2021 - 9:00AM
AMD (NASDAQ: AMD) today announced a goal to deliver a 30x increase
in energy efficiency for AMD EPYC CPUs and AMD Instinct
accelerators in Artificial Intelligence (AI) training and High
Performance Computing (HPC) applications running on accelerated
compute nodes by 2025.1 Accomplishing this ambitious goal will
require AMD to increase the energy efficiency of a compute node at
a rate that is more than 2.5x faster than the aggregate
industry-wide improvement made during the last five years.2
Accelerated compute nodes are the most powerful
and advanced computing systems in the world used for scientific
research and large-scale supercomputer simulations. They provide
the computing capability used by scientists to achieve
breakthroughs across many fields including material sciences,
climate predictions, genomics, drug discovery and alternative
energy. Accelerated nodes are also integral for training AI neural
networks that are currently used for activities including speech
recognition, language translation and expert recommendation
systems, with similar promising uses over the coming decade. The
30x goal would save billions of kilowatt hours of electricity in
2025, reducing the power required for these systems to complete a
single calculation by 97% over five years.
“Achieving gains in processor energy efficiency
is a long-term design priority for AMD and we are now setting a new
goal for modern compute nodes using our high-performance CPUs and
accelerators when applied to AI training and high-performance
computing deployments,” said Mark Papermaster, executive vice
president and CTO, AMD. “Focused on these very important segments
and the value proposition for leading companies to enhance their
environmental stewardship, AMD’s 30x goal outpaces industry energy
efficiency performance in these areas by 150% compared to the
previous five-year time period.”
“With computing becoming ubiquitous from edge to
core to cloud, AMD has taken a bold position on the energy
efficiency of its processors, this time for the accelerated compute
for AI and High Performance Computing applications,” said
Addison Snell, CEO of Intersect360 Research. “Future gains are more
difficult now as the historical advantages that come with
Moore’s Law have greatly diminished. A 30-times improvement in
energy efficiency in five years will be an impressive
technical achievement that will demonstrate the strength of AMD
technology and their emphasis on
environmental sustainability.”
Increased energy efficiency for accelerated
computing applications is part of the company’s new goals in
Environmental, Social, Governance (ESG) spanning its operations,
supply chain and products. For more than twenty-five years, AMD has
been transparently reporting on its environmental stewardship and
performance. For its recent achievements in product energy
efficiency, AMD was named to Fortune’s Change the World list
in 2020 that recognizes outstanding efforts by companies to tackle
society’s unmet needs.
Methodology
In addition to compute node performance/Watt
measurements3, to make the goal particularly relevant to worldwide
energy use, AMD uses segment-specific datacenter power utilization
effectiveness (PUE) with equipment utilization taken into
account.3 The energy consumption baseline uses the same
industry energy per operation improvement rates as from 2015-2020,
extrapolated to 2025. The measure of energy per operation
improvement in each segment from 2020-2025 is weighted by the
projected worldwide volumes4 multiplied by the Typical Energy
Consumption (TEC) of each computing segment to arrive at a
meaningful metric of actual energy usage improvement worldwide.
Dr. Jonathan Koomey, President, Koomey
Analytics, said “The energy efficiency goal set by AMD for
accelerated compute nodes used for AI training and High Performance
Computing fully reflects modern workloads, representative operating
behaviors and accurate benchmarking methodology.”
Supporting Resources
- Learn more about AMD EPYC Processors
- Learn more about the AMD Instinct Accelerators
- Learn more about AMD corporate responsibility
- Learn more about the AMD 25x20 Energy Efficiency
Initiative
- Become a fan of AMD on Facebook
- Follow AMD on Twitter
About AMD
For more than 50 years AMD has driven innovation
in high-performance computing, graphics and visualization
technologies ― the building blocks for gaming, immersive platforms
and the datacenter. Hundreds of millions of consumers, leading
Fortune 500 businesses and cutting-edge scientific research
facilities around the world rely on AMD technology daily to improve
how they live, work and play. AMD employees around the world are
focused on building great products that push the boundaries of what
is possible. For more information about how AMD is enabling today
and inspiring tomorrow, visit the AMD (NASDAQ: AMD) website, blog,
Facebook and Twitter pages.
AMD, the AMD Arrow logo, EPYC, Instinct
and combinations thereof, are trademarks of Advanced Micro Devices,
Inc. Other names are for informational purposes only and may be
trademarks of their respective owners.
_________________________________1 Includes AMD
high performance CPU and GPU accelerators used for AI training and
High-Performance Computing in a 4-Accelerator, CPU hosted
configuration. Goal calculations are based on performance scores as
measured by standard performance metrics (HPC: Linpack DGEMM kernel
FLOPS with 4k matrix size. AI training: lower precision
training-focused floating point math GEMM kernels such as FP16 or
BF16 FLOPS operating on 4k matrices) divided by the rated power
consumption of a representative accelerated compute node including
the CPU host + memory, and 4 GPU accelerators.2 Based on 2015-2020
industry trends in energy efficiency gains and data center energy
consumption in 2025.3 The CPU socket and GPU node power
consumptions are based on segment-specific utilization (active vs.
idle) percentages then multiplied by PUE to determine actual energy
use for calculation of the performance per Watt.4 Total 2025 Server
CPUs - 18.8 Mu (IDC - Q1 2021 Tracker), Total HPC CPUs – 3.3Mu
(Hyperion- Q4 2020 Tracker), Total 2025 HPC GPUs 624k (Hyperion HPC
Market Analysis, April ’21)
Contact:
Anna Carzana
AMD Communications
+39 02 3008161
Anna.Carzana@amd.com
Laura Graves
AMD Investor Relations
(408) 749-5467
Laura.Graves@amd.com
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