NVIDIA announced its support for Arm CPUs, providing the high performance computing industry a new path to build extremely energy-efficient, AI-enabled exascale supercomputers.
NVIDIA is making available to the Arm® ecosystem its full stack of AI and HPC software — which accelerates more than 600 HPC applications and all AI frameworks — by year’s end. The stack includes all NVIDIA CUDA X AI™ ™ and HPC libraries, GPU-accelerated AI frameworks and software development tools such as PGI compilers with OpenACC support and profilers.
Once stack optimization is complete, NVIDIA will accelerate all major CPU architectures, including x86, POWER and Arm.
“Supercomputers are the essential instruments of scientific discovery, and achieving exascale supercomputing will dramatically expand the frontier of human knowledge,” said Jensen Huang, founder and CEO of NVIDIA. “As traditional compute scaling ends, power will limit all supercomputers. The combination of NVIDIA’s CUDA-accelerated computing and Arm’s energy-efficient CPU architecture will give the HPC community a boost to exascale.”
“Arm is working with our ecosystem to deliver unprecedented compute performance gains and exascale-class capabilities to Arm-based SoCs,” said Simon Segars, CEO of Arm. “Collaborating with NVIDIA to bring CUDA acceleration to the Arm architecture is a key milestone for the HPC community, which is already deploying Arm technology to address some of the world’s most complex research challenges.”
According to the Green500 list released today, NVIDIA powers 22 of the world’s 25 most energy-efficient supercomputers.
Key factors making this possible are: the ability of NVIDIA GPU-powered supercomputers to offload heavy processing jobs to more energy-efficient parallel processing CUDA® GPUs; NVIDIA’s collaboration with Mellanox to optimize processing across entire supercomputing clusters; and NVIDIA’s invention of SXM 3D-packaging and NVLink, which allows for extremely dense scale-up nodes.
NVIDIA’s support for Arm-based HPC systems builds on more than 10 years of collaboration. NVIDIA uses Arm for several of its system on-a-chip products available for portable gaming, autonomous vehicles, robotics and embedded AI computing.
Strong Ecosystem Support
World leaders of the HPC industry and Arm ecosystem, including supercomputing centers and systems providers and system-on-a-chip manufacturers, have voiced their support.
“Our customers are looking for high-performance, Arm-based processors to run their most demanding workloads. We are thrilled that NVIDIA is moving CUDA and the rich ecosystem built around NVIDIA to Arm. This will accelerate our work in building out the software ecosystem for Arm-based servers and enable breakthrough Ampere platforms with NVIDIA GPUs for efficiency and performance.”
— Renee James, chairman and CEO, Ampere Computing
“Atos is a pioneer in the ARM ecosystem through the Montblanc project and an Arm computing blade design available for the exascale supercomputers, BullSequana X. We are really pleased to support NVIDIA’s major announcement to turbo-boost Arm, which will accelerate the convergence of the AI and simulation worlds while optimizing energy efficiency.”
— Pierre Barnabé, senior executive vice president, head of Big Data & CyberSecurity Division, Atos
“At Cray our vision for the exascale era is systems that integrate AI and analytics with modeling and simulation, systems that enable and often require a diversity of processor architectures and systems that are built for data-intensive workloads required in science, engineering and digital transformation. We are excited to partner with NVIDIA to help realize this vision in our supercomputers by leveraging their CUDA and CUDA-X HPC and AI software stack to the Arm platform and integrating it closely with our Cray system management and programming environment (compilers, libraries and tools) already enabled to support Arm processors across our XC and future Shasta supercomputers.”
— Peter Ungaro, president and CEO, Cray
“EuroHPC enables European collaboration on high performance computing to advance research, innovation and industrial growth. We are very interested in testing NVIDIA’s GPU-accelerated computing platform for HPC and AI on Arm as a potential building block for future pre-exascale solutions.”
— Kimmo Koski, managing director, CSC
“The European Processor Initiative aims to endow the European Union with its own high-end, low-power, general purpose and accelerator solutions. EPI and SiPearl, its industrial hand, consider very positively the new possibilities offered by NVIDIA. The combination between the EPI Arm-based microprocessor and NVIDIA accelerator could make a perfect match for equipping building blocks in the future European exascale modular supercomputers.”
— Philippe Notton, general manager, EPI
“Both NVIDIA and Arm leverage technologies that offer high performance computing customers greater levels of energy efficiency. NVIDIA’s support for Arm complements our latest developments on the HPE Apollo 70, an Arm-based, purpose-built HPC system, and now, NVIDIA GPU-enabled. With the HPE Apollo 70 supporting a 2U GPU tray and multiple energy-efficient cooling options, we can further help the HPC industry address increasingly unsustainable levels of power consumption.”
— Bill Mannel, vice president and general manager of HPC and AI, HPE
“The Jülich Supercomputing Centre is driving developments at the forefront of supercomputing and establishing modular technologies to make the best resources available most effectively to researchers in Europe to help them solve the world’s greatest challenges. Particularly in view of the exascale systems planned for the coming years and the rise of large-scale AI calculations, NVIDIA’s support of the Arm processor is a very exciting development, which is essential for the establishment of true modularity for supercomputers and composable data centers of the future. It will help to advance supercomputing in Europe.”
— Thomas Lippert, director, Jülich Supercomputing Centre
“We are excited to work with NVIDIA and server OEMs to couple the CUDA-X platform and NVIDIA GPUs with the Marvell ThunderX2 family of server processors. The combination of ThunderX2’s best-in-class 64-bit Armv8 performance and NVIDIA GPUs offers breakthrough levels of energy efficiency and application performance, enabling world-class HPC and AI solutions for exascale computing.”
— Matt Murphy, president and CEO, Marvell
“We have been a pioneer in using NVIDIA GPUs on large-scale supercomputers for the last decade, including Japan’s most powerful ABCI supercomputer. At Riken R-CCS, we are currently developing the next-generation, Arm-based, exascale Fugaku supercomputer and are thrilled to hear that NVIDIA’s GPU acceleration platform will soon be available for Arm-based systems.”
— Satoshi Matsuoka, director, Riken Center for Computational Sciences, and professor, Tokyo Institute of Technology