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NVIDIA extends its support to ARM-based CPUs for energy-efficient supercomputing

By Wong Chung Wee - on 18 Jun 2019, 11:15am

NVIDIA extends its support to ARM-based CPUs for energy-efficient supercomputing

Image source: NVIDIA

NVIDIA will extend support for ARM-based CPUs, its full suite of AI and HPC software. The entire software stack includes “NVIDIA CUDA-X AI and HPC libraries, GPU-accelerated AI frameworks and software development tools such as PGI compilers with OpenACC support and profilers.”

This is expected to be completed by the end of this year. Upon completion, NVIDIA will support all major CPU architectures that include ARM, x86, and POWER.

NVIDIA DGX-2H server (Image source: NVIDIA)

The company also took the opportunity to announce NVIDIA DGX SuperPOD, which is the world’s 22nd fastest supercomputer. It’s based on the “modular and scalable GPU SuperPOD architecture”, and the entire supercomputer comprises 96 NVIDIA DGX-2H servers. The entire system delivers up to 9.4 petaflops, based on the HPL benchmark.

It has also integrated fully-optimized software stacks, and is made freely available through NVIDIA GPU Cloud (NGC). This distributed user runtime environment is touted to deliver optimal performance for major deep learning frameworks.

Containized application on the NGC DGX software stack (Image source: NVIDIA)

The platform was also updated to include support for NGC Container Replicator. This pre-integrated GPU-accelerated container will include all “necessary dependencies from CUDA Runtime API, NVIDIA libraries, communication libraries, and operating system.” The container can then be made available for testing and deployment, without the need for superuser access rights.

Source: NVIDIA (1), (2), (3)

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