SANTA CLARA, Calif. and
DENVER, Nov. 18, 2019 /PRNewswire/ -- Marvell (NASDAQ:
MRVL) today 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."
Ecosystem Support
ThunderX2 is the most widely supported Armv8-A server processor
with an ecosystem of over 100 partners across commercial, open
source and industry standards engagements. NVIDIA's full
software suite support is enabling the acceleration of more than
600 HPC applications and AI frameworks on ThunderX2
systems.
"Our collaboration with Marvell enables us to support servers
with the industry-leading performance of ThunderX2 with our SC8000
compute acceleration expansion platform, bringing data center AI
capabilities to a host of edge applications," said Steve Cooper, CEO at One Stop Systems.
"The SC8000 is the industry's first solution that incorporates
NVIDIA Tesla GPUs with NVLink and Arm servers. The addition of
Arm-based architecture into our solutions extends the value of use
cases for AI on the Fly edge appliances for our customers."
"Red Hat and Marvell have a long history of collaborating in the
Arm server ecosystem, helping to bring open, industry-wide
standards to enterprise Arm architecture," said Chris Wright, senior vice president and chief
technology officer at Red Hat. "Enabling NVIDIA GPUs on
ThunderX-based systems paired with the CUDA-X SDK and libraries
supports customer choice in terms of architecture for running HPC,
AI and ML applications on top of Red Hat platforms."
"SUSE and Marvell have a successful track record of strong HPC
collaboration as seen most recently in the Catalyst UK deployment,"
said Daniel Nelson, vice president,
Products & Solutions Management at SUSE. "We are excited
to build upon this collaboration with the addition of NVIDIA's GPUs
and suite of HPC, AI and ML applications support on Marvell's
ThunderX2. SUSE looks forward to driving additional
optimizations and software infrastructure support in the Arm
ecosystem and will be demonstrating GPU support at the SC19
industry conference in Denver."
The Marvell® ThunderX platform with NVIDIA GPU
support will be demonstrated at the Marvell booth (#349) at The
International Conference for High Performance Computing,
Networking, Storage and Analysis (SC19), running through
November 22, 2019 in Denver, Colorado.
About Marvell
Marvell first revolutionized the digital storage industry by
moving information at speeds never thought possible. Today, that
same breakthrough innovation remains at the heart of the company's
storage, processing, networking, security and connectivity
solutions. With leading intellectual property and deep system-level
knowledge, Marvell's semiconductor solutions continue to transform
the enterprise, cloud, automotive, industrial, and consumer
markets. To learn more,
visit: https://www.marvell.com/
Marvell, the M logo, ThunderX and ThunderX2 are registered
trademarks of Marvell and/or its affiliates in the US and/or
elsewhere. Other names and brands may be claimed as the
property of others.
Marvell Media Relations
Kristin Hehir
Senior Manager, Public Relations
408-222-8744
kristinh@marvell.com
Hanna Kang
Senior Manager, Public Relations
408-222-3780
hhkang@marvell.com
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SOURCE Marvell