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.

Setting New Records in MLPerf Inference v3.0 with Full-Stack Optimizations for AI

vSphere Archives - VROOM! Performance Blog

Benchmarks Archives - VROOM! Performance Blog

Performance – VROOM! Performance Blog

MLPerf Inference: Startups Beat Nvidia on Power Efficiency

GPU – VROOM! Performance Blog

VMware and NVIDIA solutions deliver high performance in machine learning workloads - VROOM! Performance Blog

VMware Performance (@vmwarevroom) / X

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

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

Performance – Page 2 – VROOM! Performance Blog

DeepSparse: 1,000X CPU Performance Boost & 92% Power Reduction with Sparsified Models in MLPerf™ Inference v3.0 : r/computervision

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

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