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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.

“Arm’s energy efficiency and IP business model have made it the world’s most popular CPU,” said Jensen Huang, founder and CEO of NVIDIA. “Arm’s ecosystem of technology companies from around the world are ready to take Arm-based products into new markets like cloud, supercomputing, PC and autonomous systems. With the new partnerships announced, we’re taking important steps to expand the Arm ecosystem beyond mobile and embedded.”

NVIDIA GPU + AWS Graviton2-based Amazon EC2 Instances

NVIDIA and AWS announced that they are working together to deploy GPU-accelerated Arm-based instances in the cloud. 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.

Devkit for HPC

NVIDIA unveiled the NVIDIA Arm HPC Developer Kit to support scientific computing amid the growing need for energy-efficient supercomputers and data centres. 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 and ISV partners can use the devkit to easily migrate and validate their software, and conduct performance analysis. Among initial leading computing centres deploying it are Oak Ridge National Laboratory, Los Alamos National Laboratory and Stony Brook University in the US; the National Center for High Performance Computing in Taiwan; and the Korean Institute of Science and Technology.

Sean Varley, senior director of Solutions at Ampere Computing, said, “The powerful combination of NVIDIA GPU and DPU accelerators with cloud-native Ampere Altra processors offers our customers leading performance, scalability, instance and core density, all while predictably executing very demanding data centre and cloud workloads such as cloud gaming, HPC, scientific compute, artificial intelligence and networking. NVIDIA’s Arm HPC Developer Kit is an easily accessible way to test drive this world-class combination for the most challenging workloads.”

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.

Collaborations in Edge, PC

NVIDIA is expanding its collaboration with Marvell to combine OCTEON DPUs with GPUs to accelerate cloud, enterprise, carrier and edge applications. This combination will speed up AI workloads such as network optimisation and security from the edge to cloud, boosting system performance and reducing latency.

“Marvell’s Arm-based OCTEON DPU platform has a long, proven track record of delivering industry leading solutions to address the growing security, networking and storage requirements of cloud data centres,” said Matt Murphy, president and CEO of Marvell. “We’re thrilled to expand our multi-year relationship with NVIDIA to combine our OCTEON DPUs with NVIDIA GPUs to accelerate video analytics and cybersecurity solutions for emerging edge to cloud applications.”

In PCs, NVIDIA is partnering with MediaTek, one of the world’s largest suppliers of Arm-based SoCs, to create a reference platform supporting Chromium, Linux and NVIDIA SDKs. The combination of NVIDIA RTX GPUs with high-performance, energy-efficient Arm Cortex processors will bring realistic ray-traced graphics and cutting-edge AI to a new class of laptops.

MediaTek CEO Rick Tsai said, “MediaTek is the world’s largest supplier of Arm chips, used to power everything from smartphones, Chromebooks and smart TVs. We look forward to using our technology and working with NVIDIA to bring the power of GPUs to the Arm PC platform for gaming, content creation and much more. GPU acceleration will be a huge boost for the entire Arm ecosystem.”

Additional Partner Support

NVIDIA is collaborating on this work with other partners, including Fujitsu and SiPearl.

“Our collaboration with NVIDIA and the Arm ecosystem to accelerate HPC and data science will give researchers a broader development opportunity to build innovative solutions for scientific breakthroughs,” said Naoki Shinjo, corporate executive officer, senior vice president and deputy head of the Future Society & Technology Unit at Fujitsu Limited.

“SiPearl is designing and bringing to market the European high-performance, energy-efficient processor, Rhea, that will power Europe’s exascale supercomputers,” said Philippe Notton, CEO of SiPearl. “NVIDIA’s new tools and SDKs will help developers build accelerated HPC apps for Arm, providing supercomputing centres a rich Arm ecosystem.

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