Marvell (NASDAQ: MRVL) announced the availability of NVIDIA GPU support on its ThunderX® family of Arm®-based server processors. Following NVIDIA’s June announcement to bring CUDA to the Arm architecture, Marvell has collaborated with NVIDIA to port its CUDA-X AI™ and HPC libraries, GPU-accelerated AI frameworks and software development tools to the ThunderX platform. The computational performance and memory bandwidth of ThunderX2®, Marvell’s latest 64-bit Armv8-A based server processor, combined with the parallel processing capabilities of NVIDIA GPUs provide a compelling path to energy-efficient exascale computing.
Artificial intelligence (AI) and machine learning (ML) continue to become essential technology components to data center server requirements at the cloud and network edge. To address these evolving AI and ML workloads, as well as the most challenging and complex problems in science and research, supercomputers need processors that are optimized to provide cutting-edge throughput, application latency and power.
With an initial focus on computational science applications including GROMACS, NAMD, MILC and LAMMPS, the ThunderX2 configurations are demonstrating compelling performance with an enhanced ability to drive higher and more efficient combined application results in a GPU-enabled system.
“NVIDIA GPU support for our ThunderX2 server processor brings clear, differentiated value to meet the distinctive performance and power requirements of the exascale computing era,” said Gopal Hegde, vice president and general manager, Server Processor Business Unit at Marvell Semiconductor, Inc. “The availability of NVIDIA GPU acceleration on the Arm architecture will further expand the ThunderX2 ecosystem for HPC, cloud computing and edge markets, spurring innovation across low level firmware through system software to commercial ISV applications.”
“The availability of CUDA acceleration for ThunderX2 processors marks a significant milestone in bringing the power efficiency and high performance of the Arm architecture to the infrastructure market,” said Chris Bergey, senior vice president and general manager, Infrastructure Line of Business at Arm. “The breadth and depth of innovation across the ecosystem enables an easy migration path and robust support for existing and future GPU workloads from the edge to the cloud.”
“NVIDIA GPU-accelerated computing on Arm provides customers worldwide with greater choice in building next-gen AI-enabled supercomputers,” said Ian Buck, general manager and vice president of Accelerated Computing at NVIDIA. “Combining NVIDIA’s unmatched platform for AI and HPC with Marvell’s powerful ThunderX2 Arm-based server processors is already delivering impressive application performance.”
To learn more, visit: https://www.marvell.com/
