CloudCXOsEdge/IoTNews

NVIDIA Announces New Partnerships To Expand Arm Ecosystem Beyond Mobile And Embedded

0

At GTC21, NVIDIA announced a series of collaborations that combine NVIDIA GPUs and software with Arm-based CPUs — extending the benefits of Arm’s flexible, energy-efficient architecture to computing workloads from the cloud to the edge.

The initiatives include combining AWS Graviton2-based Amazon EC2 instances with NVIDIA GPUs; supporting the development of scientific and AI applications with a new HPC Developer Kit; boosting video analytics and security features at the edge; and creating a new class of Arm-based PCs with NVIDIA RTX GPUs.

The new Amazon EC2 instances will bring together AWS Graviton2 processors and NVIDIA GPUs to provide a range of benefits, including lower cost, support for richer game-streaming experiences, and greater performance for Arm-based workloads.

The instances will enable game developers to run Android games natively on AWS, accelerate rendering and encoding with NVIDIA GPUs, and stream games to mobile devices without the need to run emulation software.

NVIDIA unveiled the NVIDIA Arm HPC Developer Kit to support scientific computing amid the growing need for energy-efficient supercomputers and data centers. It includes an Ampere Altra CPU, with 80 Arm Neoverse cores running up to 3.3GHz; dual NVIDIA A100 GPUs, each delivering 312 teraflops of FP16 deep learning performance, as well as two NVIDIA BlueField-2 DPUs, which accelerate networking, storage and security.

The devkit runs the NVIDIA HPC SDK, a suite of compilers, libraries and tools that enable engineers, scientists and developers to create and migrate HPC and AI applications to a GPU-accelerated Arm computing system.

Developers can apply for early access to the HPC devkit, which will be available in Q3.

Additionally, NVIDIA is working with lab directors, scientists and partners to help them port their software to run on Arm CPUs and NVIDIA GPUs.