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.

Getting the Best Performance on MLPerf Inference 2.0

Hopper, Ampere Sweep MLPerf Training Tests

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

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

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

Nvidia Hopper, Ampere GPUs Sweep MLPerf Benchmarks in AI Training

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

Nvidia announces TensorRT 8, slashes BERT inference times down to a millisecond - Neowin

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

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

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