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The Biggest News From Supercomputing 2019

The Supercomputing 2019 provides a window into the future of computing with announcements from Intel, Hewlett Packard Enterprise, Dell EMC, Nvidia and more on new, groundbreaking technologies for high-performance computing and artificial intelligence.

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Nvidia's Arm-Based Server Push Gets Ecosystem Boost

Nvidia announced on Monday a new reference design and ecosystem support for its bid to build GPU-accelerated Arm-based servers for high-performance computing.

The Santa Clara, Calif.-based company said its new Arm-based reference design platform is receiving support from Hewlett Packard Enterprise-owned Cray, HPE, Marvell, Fujitsu and Ampere, the latter of which is a data center chip startup founded by former Intel executive Renee James.

These companies will use Nvidia's reference design, which will consist of hardware and software building blocks, to build their own GPU-accelerated servers for everything from hyperscale cloud service providers to high-performance storage and exascale supercomputing.

The reference design and ecosystem support comes after Nvidia announced earlier this year in June that it would support Arm-based CPUs to enable "extremely energy-efficient, AI-enabled exascale supercomputers." The company is doing this by making its CUDA-X libraries, GPU-accelerated AI frameworks and software development tools available to Arm developers.

"There is a renaissance in high performance computing," Nvidia CEO Jensen Huang said. "Breakthroughs in machine learning and AI are redefining scientific methods and enabling exciting opportunities for new architectures. Bringing NVIDIA GPUs to Arm opens the floodgates for innovators to create systems for growing new applications from hyperscale-cloud to exascale supercomputing and beyond."

Nvidia also announced the launch of a new Microsoft Azure NDv2 instance that gives companies access to GPU-accelerated supercomputing in the cloud. The instance offers up to 800 of Nvidia's Tesla V100 Tensor Core GPUs interconnected on a single Mellanox InfiniBand backend network.

In addition, the chipmaker launched its Nvidia Magnum IO suite of software that is designed to eliminate data throughput bottlenecks for HPC and AI workloads. The company said the software can speed up data processing for multi-server, multi-GPU nodes by up to 20 times.

 
 
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