HPC applications need to perform an enormous amount of calculations per second. Increasing the compute density of each server node dramatically reduces the number of servers required, resulting in huge savings in cost, power, and space consumed in the data center. For simulations, high-dimension matrix multiplication requires a processor to fetch data from many neighbors for computation, making GPUs connected by NVIDIA NVLink ideal. HPC applications can also leverage TF32 in A100 to achieve up to 11X higher throughput in four years for single-precision, dense matrix-multiply operations.
An HGX powered by A100 80GB GPUs delivers a 2X throughput increase over A100 40GB GPUs on Quantum Espresso, a materials simulation, boosting time to insight.