New Containers on NVIDIA GPU
Cloud Help Developers Instantly Deploy Fully Optimised AI and HPC Software
SINGAPORE—November 14, 2017—NVIDIA
today announced the world’s most advanced data
centre GPU — the
NVIDIA®
Tesla® V100
GPU based on NVIDIA’s
Volta
architecture — is available through every major
computer maker and chosen by every major cloud to deliver artificial
intelligence and high performance computing.
Dell
EMC, Hewlett Packard Enterprise, Huawei, IBM, and Lenovo have all announced
Volta-based offerings for their customers. Providers such as Alibaba Cloud,
Amazon Web Services, Baidu Cloud, Microsoft Azure, Oracle Cloud and Tencent
Cloud have also announced Volta-based cloud services.
Building on this breadth of offerings, NVIDIA has introduced new software and tools on the
NVIDIA GPU Cloud (NGC) container registry that make it easy for scientists to deploy NVIDIA’s accelerated computing platform for compute-intensive research.
NVIDIA
shared the news at the
SC17
supercomputing conference, where dozens of computer
makers and cloud service providers launched a wide range of Volta-based
products and services. “Volta is the world’s most powerful platform for AI and
HPC, and will allow the world’s top minds in scientific research to push the
limit on what’s possible in areas like drug discovery, alternative fuel sources
and predicting natural disasters,” said Jensen Huang, founder and chief executive
officer of NVIDIA. “With Volta now in data centres and clouds around the world,
a new wave of innovation is underway that will have an incredible impact across
society.”
NVIDIA GPU Cloud Adds HPC Containers
NVIDIA’s
new containers for scientific computing applications and for HPC visualisation
tools provide access to some of the most widely used GPU-optimised HPC
software. They join the GPU-optimised
AI
frameworks and deep learning applications the company
introduced in the NGC container registry last month.
Together,
the offerings make NGC a single source for researchers seeking to easy access,
at no charge, to the AI frameworks, HPC applications and visualisation tools
essential for their scientific workflows.
With NGC,
scientists and researchers can focus on discovery rather than setting up and
deploying scientific computing applications, and the time-consuming challenges
of installing complex, resource-intensive software and updates. The
GPU-optimised HPC containers on NGC transform this cumbersome chore, which can
take days or weeks to complete, into a simple task that requires only a few minutes.
The HPC
application containers encompass several popular third-party scientific
applications, including GAMESS, GROMACS, LAMMPS, NAMD, and RELION.
The HPC
visualisation containers now available in beta on NGC feature the industry’s
leading visualisation tools, including ParaView with NVIDIA IndeX™ volume
renderer, NVIDIA Optix™ ray-tracing library and NVIDIA Holodeck™ for
interactive real-time visualisation and high-quality visuals.
The
complete set of GPU-accelerated deep learning, HPC application and HPC
visualisation containers are available to users at no charge from the NGC
container registry. Simply sign up for an
NGC account.
The HPC containers can run on any NVIDIA Pascal™ and later generation
NVIDIA GPU-accelerated system, including local workstations,
NVIDIA
DGX™ systems and HPC supercomputing clusters.
NVIDIA‘s (NASDAQ:
NVDA) invention of the GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics and revolutionised parallel computing. More
recently, GPU deep learning ignited modern AI — the next era of computing —
with the GPU acting as the brain of computers, robots and self-driving cars
that can perceive and understand the world.
More information at
http://nvidianews.nvidia.com/.