No Virtualization Tax for MLPerf Inference v3.0 Using NVIDIA Hopper and Ampere vGPUs and NVIDIA AI Software with vSphere 8.0.1 - VROOM! Performance Blog

In this blog, we show the MLPerf Inference v3.0 test results for the VMware vSphere virtualization platform with NVIDIA H100 and A100-based vGPUs. Our tests show that when NVIDIA vGPUs are used in vSphere, the workload performance is the same as or better than it is when run on a bare metal system.

NVIDIA Posts Big AI Numbers In MLPerf Inference v3.1 Benchmarks With Hopper H100, GH200 Superchips & L4 GPUs

Winning MLPerf Inference 0.7 with a Full-Stack Approach

GPU – VROOM! Performance Blog

Benchmarks Archives - VROOM! Performance Blog

Leading MLPerf Inference v3.1 Results with NVIDIA GH200 Grace Hopper Superchip Debut

Leading VMware Performance Results for Machine Learning Apps Using NVIDIA AI Enterprise on vSphere

Benchmarks Archives - VROOM! Performance Blog

MLPerf Inference 3.0 Highlights - Nvidia, Intel, Qualcomm and…ChatGPT

NVIDIA Grace Hopper Superchip Sweeps MLPerf Inference Benchmarks

vSphere Archives - VROOM! Performance Blog

Virtualization Archives - VROOM! Performance Blog

MLPerf Inference 3.0 Highlights - Nvidia, Intel, Qualcomm and…ChatGPT

MLPerf Inference 3.0 Highlights - Nvidia, Intel, Qualcomm and…ChatGPT

MLPerf Inference Virtualization in VMware vSphere Using NVIDIA vGPUs - VROOM! Performance Blog

The Mainstreaming of MLPerf? Nvidia Dominates Training v2.0 but Challengers Are Rising