AWS Leverages Habana Gaudi AI Processors
December 01 2020 - 11:49AM
Business Wire
What’s New: Today at AWS re:Invent 2020, AWS CEO Andy
Jassy announced EC2 instances that will leverage up to eight
Habana® Gaudi® accelerators and deliver up to 40% better price
performance than current graphics processing unit-based EC2
instances for machine learning workloads1. Gaudi accelerators are
specifically designed for training deep learning models for
workloads that include natural language processing, object
detection and machine learning training, classification,
recommendation and personalization.
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A photo shows Habana Labs' HL-205 Gaudi
Mezzanine Card. Gaudi-based EC2 instances deliver cost efficiency
and high performance, while natively supporting common frameworks
such as TensorFlow and PyTorch. (Credit: Habana Labs)
“We are proud that AWS has chosen Habana
Gaudi processors for its forthcoming EC2 training instances. The
Habana team looks forward to our continued collaboration with AWS
to deliver on a roadmap that will provide customers with continuity
and advances over time.” –David Dahan, chief executive officer at
Habana Labs, an Intel Company
Why It Matters: As the world’s leading cloud provider,
AWS is used by developers around the world to train their
artificial intelligence (AI) models. However, the increase in
complexity of machine learning models drives up both the time and
cost to train, especially as more data becomes available and
developers look to refine their models. Gaudi-based EC2 instances
are designed to address these needs by delivering cost efficiency
and high performance, while natively supporting common frameworks
such as TensorFlow and PyTorch. And using Habana’s SynapseAI
Software Suite, developers will be able to easily build new or port
existing training models from graphics processing units to Gaudi
accelerators.
How It Fits in Intel’s AI and XPU Vision: Intel acquired
Habana in 2019 to advance its AI strategy and strengthen its
portfolio of AI accelerators for the cloud and data center. This
includes a mix of products and technologies that power some of the
most promising AI use cases in business, society and research. It
also reflects the company’s shift to delivering XPUs – a mix of
architectures across CPUs, GPUs, FPGAs and more to help customers
and the entire ecosystem unleash the potential of data.
“Our portfolio reflects the fact that artificial intelligence is
not a one-size-fits-all computing challenge,” said Remi
El-Ouazzane, chief strategy officer of Intel’s Data Platforms
Group. “Cloud providers today are broadly using the built-in AI
performance of our Intel® Xeon® processors to tackle AI inference
workloads. With Habana, we can now also help them reduce the cost
of training AI models at scale, providing a compelling, competitive
alternative in this high-growth market opportunity.”
More Context: Habana Gaudi AI Processors to bring lower
cost-to-train to Amazon EC2 customers (Habana Labs Blog) | Customer
Enablement of Habana® Gaudi® Amazon EC2 Instances (White Paper) |
AWS and Intel | Gaudi AI Training
Intel Customer Stories: Intel Customer Spotlight on
Intel.com | Customer Stories on Intel Newsroom
About Intel
Intel (Nasdaq: INTC) is an industry leader, creating
world-changing technology that enables global progress and enriches
lives. Inspired by Moore’s Law, we continuously work to advance the
design and manufacturing of semiconductors to help address our
customers’ greatest challenges. By embedding intelligence in the
cloud, network, edge and every kind of computing device, we unleash
the potential of data to transform business and society for the
better. To learn more about Intel’s innovations, go to
newsroom.intel.com and intel.com.
1The price performance claim is made by AWS and based on AWS
internal testing. Habana Labs does not control or audit third-party
data; your costs and results may vary.
© Intel Corporation. Intel, the Intel logo and other Intel marks
are trademarks of Intel Corporation or its subsidiaries. Other
names and brands may be claimed as the property of others.
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Liz Wu 1-503-696-2098 liz.wu@intel.com
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