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INTEL CORPORATION

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Intel : SD Supercomputer Center Selects Habana, Intel for Efficient AI

04/08/2021 | 08:08am EDT

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What's New: Intel today announced that San Diego Supercomputer Center (SDSC) at UC San Diego will leverage Habana's purpose-built artificial intelligence (AI) training and inference accelerators, with Intel® Xeon® Scalable processors, in SDSC's Voyager supercomputer for high-performance and high-efficiency AI compute. Expected to be in service in fall of 2021, Voyager is a first-of-its-kind in the National Science Foundation resource portfolio and will focus on advancing AI research across a range of science and engineering domains.

'With innovative solutions optimized for deep learning operations and AI workloads, Habana accelerators are ideal choices to power Voyager's forthcoming AI research. We look forward to partnering with Habana, Intel and Supermicro to bring this uniquely efficient class of compute capabilities to the Voyager program, giving academic researchers access to one of the most capable AI-focused systems available today.'
-Amitava Majumdar, head of SDSC's Data Enabled Scientific Computing division and principal investigator for the Voyager project

How It Works: The Voyager supercomputer will use Habana's unique interconnectivity technology to efficiently scale AI capacity with 336 Gaudi processors for training and 16 Habana Goya processors for AI inference. Gaudi processors for AI training are architected for scaling large supercomputer training systems and are the industry's only AI processor to natively integrate ten 100-gigabit Ethernet ports of RoCE RDMA v2 on chip, enabling flexibility of scaling and reduction of throughput bottlenecks that can limit scaling capacity.

'We are honored that Habana processors have been selected to accelerate compute workloads that will run on SDSC's Voyager supercomputer,' said Eitan Medina, chief business officer at Habana, an Intel Company. 'This implementation of our Gaudi and Goya products showcases how top academic institutions like SDSC can harness efficiency and performance to effectively address the growing computational demands of AI research workloads.'

Why It's Important: The first three years of Voyager's operation will be the Testbed Phase, during which SDSC will work with select research teams from astronomy, climate sciences, chemistry, particle physics and other fields to gain AI experience and insights leveraging Voyager's unique features. The documentation developed during the Testbed Phase will serve as a resource for an expanded user base.

'The level of performance and efficiency that Voyager will require is precisely what Intel architectures are designed for,' said Trish Damkroger, vice president and general manager of Intel's High Performance Computing Group. 'Our Xeon Scalable processors coupled with Habana AI accelerators will ensure Voyager's users have the HPC and AI capabilities they need to power their game-changing research.'

About the Technology: Voyager will leverage the following AI systems:

'Combining Supermicro's advanced application-optimized server and storage hardware with Habana's AI training and inference products is precisely the best solution for SDSU's multiyear Voyager AI project,' said Ray Pang, vice president of Technology and Business Enablement, Supermicro. 'We continue to work closely with leading innovators to deliver solutions for computationally intensive projects worldwide at leading research and HPC environments for science and medical discovery, compute and leading-edge AI solutions.'

The Voyager supercomputer buildout, as well as ongoing community support and operations, are funded by a grant from the National Science Foundation.

More Context:Habana AI Accelerators Chosen by the San Diego Supercomputer Center to Power Voyager Research Program (Habana News Release) | San Diego Supercomputer Center | Habana.ai | Intel HPC

More Partner Stories:Intel Customer Spotlight on Intel.com | Partner Stories on Intel Newsroom

Disclaimer

Intel Corporation published this content on 08 April 2021 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 08 April 2021 12:07:01 UTC.


© Publicnow 2021
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