NVIDIA and Global Partners Launch New HGX A100 Systems to Accelerate Industrial AI and HPC
SANTA CLARA, Calif., June 28, 2021 (GLOBE NEWSWIRE) — ISC—NVIDIA today announced it is turbocharging the NVIDIA HGX™ AI supercomputing platform with new technologies that fuse AI with high performance computing, making supercomputing more useful to a growing number of industries.
To accelerate the new era of industrial AI and HPC, NVIDIA has added three key technologies to its HGX platform: the NVIDIA® A100 80GB PCIe GPU, NVIDIA NDR 400G InfiniBand networking, and NVIDIA Magnum IO™ GPUDirect™ Storage software. Together, they provide the extreme performance to enable industrial HPC innovation.
Atos, Dell Technologies, Hewlett Packard Enterprise (HPE), Lenovo, Microsoft Azure and NetApp are among dozens of partners using the NVIDIA HGX platform for next-generation systems and solutions.
“The HPC revolution started in academia and is rapidly extending across a broad range of industries,” said Jensen Huang, founder and CEO of NVIDIA. “Key dynamics are driving super-exponential, super-Moore’s law advances that have made HPC a useful tool for industries. NVIDIA’s HGX platform gives researchers unparalleled high performance computing acceleration to tackle the toughest problems industries face.”
Industry Leaders Use HGX Platform to Power Innovation Breakthroughs
The HGX platform is being used by high-tech industrial pioneer General Electric, applying HPC innovation to computational fluid dynamics simulations that guide design innovation in large gas turbines and jet engines. The HGX platform has achieved order-of-magnitude acceleration for breakthrough CFD methods in GE’s GENESIS code, which employs Large Eddy Simulations to study the effects of turbulent flows inside turbines that are composed of hundreds of individual blades and require uniquely complex geometry.
Besides driving industrial HPC transformation, the HGX platform is also accelerating scientific HPC systems around the world, including the next next-generation supercomputer at the University of Edinburgh, also announced today.
NVIDIA A100 80GB PCIe Performance Enhancements for AI and HPC
NVIDIA A100 Tensor Core GPUs deliver unprecedented HPC acceleration to solve complex AI, data analytics, model training and simulation challenges relevant to industrial HPC. A100 80GB PCIe GPUs increase GPU memory bandwidth 25 percent compared with the A100 40GB, to 2TB/s, and provide 80GB of HBM2e high-bandwidth memory.
The A100 80GB PCIe’s enormous memory capacity and high-memory bandwidth allow more data and larger neural networks to be held in memory, minimizing internode communication and energy consumption. Combined with faster memory bandwidth, it enables researchers to achieve higher throughput and faster results, maximizing the value of their IT investments.
A100 80GB PCIe is powered by the NVIDIA Ampere architecture, which features Multi-Instance GPU (MIG) technology to deliver acceleration for smaller workloads such as AI inference. MIG allows HPC systems to scale compute and memory down with guaranteed quality of service. In addition to PCIe, there are four- and eight-way NVIDIA HGX A100 configurations.
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