Cloud companies choose NVIDIA GPUs for AI computing.
Published2017.11.15 10:39NVIDIA announced that the NVIDIA Tesla V100 GPU, based on NVIDIA's Volta architecture, the world's most advanced data center GPU, is now available from all major cloud providers and computer manufacturers to enable AI and high-performance computing.
Dell EMC, Hewlett Packard Enterprise, Huawei, IBM, and Lenovo have all announced the launch of NVIDIA Volta-based products. Additionally, major cloud service providers such as Alibaba Cloud, Amazon Web Services, Baidu Cloud, Microsoft Azure, Oracle Cloud, and Tencent Cloud have also announced the launch of Volta-based cloud services.
Building on this diverse product launch, NVIDIA has introduced new software and tools to the NVIDIA GPU Cloud (NGC) container registry to enable scientists to conveniently deploy NVIDIA's accelerated computing platform for compute-intensive research activities.
“Volta, the world’s most powerful platform for AI and high-performance computing, will enable the world’s leading scientists to push the boundaries of drug discovery, alternative fuel development and predicting natural disasters,” said Jensen Huang, founder and CEO of NVIDIA, at the Supercomputing 2017 (SC17) conference, where computer makers and cloud providers announced the launch of a range of Volta-based products and services. “With Volta now available in data centers and clouds around the world, we anticipate a new wave of innovation that will have profound ripple effects across society.”
Adding HPC Containers to NVIDIA GPU Cloud
Over 500 HPC applications, including the industry's most widely used ones, feature GPU acceleration. However, the biggest challenge for researchers utilizing these applications lies in the complex deployment process.
NVIDIA's new containers for scientific computing applications and HPC visualization tools provide easy access to the most widely used GPU-based HPC software. Last month, NVIDIA introduced GPU-optimized AI frameworks and deep learning applications to the NVIDIA GPU Cloud container registry.
The launch of these new containers gives researchers free, convenient access to essential AI frameworks, HPC applications, and visualization tools for scientific workflows via the NVIDIA GPU Cloud.
NVIDIA GPU Cloud enables researchers and developers to set up and deploy scientific computing applications, freeing them from complex software updates and allowing them to focus solely on research and development. With GPU-optimized HPC containers available through NVIDIA GPU Cloud, tedious tasks that once took hours can now be completed in minutes.
The HPC application containers also include some popular third-party research applications, including GAMESS, GRMACS, LAMPS, NAMD, and RELION.
HPC visualization containers, currently available in beta form on NVIDIA GPU Cloud, include industry-leading visualization tools such as ParaView with the NVIDIA IndeX volume renderer, the NVIDIA Optix ray tracing library, and NVIDIA Holodeck for interactive, real-time visualization and high-quality visual effects.
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