NVIDIA announced broad adoption of its next-generation H100 Tensor Core GPUs and Quantum-2 InfiniBand, including new offerings on Microsoft Azure cloud and 50+ new partner systems for accelerating scientific discovery. At SC22, the company also released major updates to its cuQuantum, CUDA, and BlueField DOCA acceleration libraries and announced support for Omniverse on NVIDIA A100- and H100-powered systems. The updates are part of NVIDIA’s HPC platform – a full technology stack with CPUs, GPUs, DPUs, systems, networking, and a broad range of AI and HPC software. It enables researchers to accelerate their work on powerful systems, on-premises or in the cloud.
Major Updates to Acceleration Libraries
- NVIDIA CUDA libraries now include a multi-node, multi-GPU Eigensolver enabling unprecedented scale and performance for leading HPC applications like VASP, a package for first-principles quantum mechanical calculations.
- The NVIDIA cuQuantum software development kit for accelerating quantum computing workflows now supports approximate tensor network methods. This allows researchers to simulate tens of thousands of qubits, as well as automatically enables multi-node, multi-GPU support for quantum simulation with unparalleled performance using the cuQuantum Appliance.
- NVIDIA DOCA, the open cloud SDK and acceleration framework for NVIDIA BlueField DPUs, includes advanced programmability, security and functionality to support new storage use cases.
