Today, NVIDIA announced that they are turbocharging their NVIDIA HGX™ AI supercomputing platform with new technologies. They are fusing AI with high-performance computing to make supercomputing more useful.
The company has added three key technologies: the NVIDIA® A100 80GB PCIe GPU, NVIDIA NDR 400G InfiniBand networking, and NVIDIA Magnum IO™ GPUDirect™ Storage software to its HGX platform to accelerate the new era of industrial AI and HPC.
Some companies using the NVIDIA HGX platform for next-generation systems and solutions are Atos, Hewlett Packard Enterprise (HPE), Dell Technologies, Lenovo, Microsoft Azure, and NetApp.
Jensen Huang, founder, and CEO of NVIDIA “The HPC revolution started in academia and is rapidly extending across a broad range of industries. 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 of the industries face.”
NVIDIA’s HGX platform is currently being used by high-tech industrial pioneer General Electric. They are applying HPC innovation to computational fluid dynamics simulations. This stimulation will guide the 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,” said NVIDIA.
NVIDIA’s HGX platform is even accelerating scientific HPC systems around the world. The platform is also driving industrial HPC transformation. This includes the next next-generation supercomputer at the University of Edinburgh.
Tursa, their new DiRAC supercomputer, is the third out of four supercomputers to be announced by the company. They will allow researchers to carry out ultra-high-precision calculations. As the properties of subatomic particles are needed to be interpreted from massive particle data for physics experiments.
“DiRAC is helping researchers unlock the mysteries of the universe. Our collaboration with DiRAC will accelerate cutting-edge scientific exploration across a diverse range of workloads that take advantage of the unrivaled performance of NVIDIA GPUs, DPUs, and InfiniBand in-network computing acceleration engines,” said Gilad Shainer, senior vice president of networking at NVIDIA.