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
Por um escritor misterioso
Last updated 21 setembro 2024
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
Setting New Records in MLPerf Inference v3.0 with Full-Stack Optimizations for AI
Uday Kurkure – VROOM! Performance Blog
NVIDIA Posts Big AI Numbers In MLPerf Inference v3.1 Benchmarks With Hopper H100, GH200 Superchips & L4 GPUs
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
MLPerf Inference 3.0 Highlights - Nvidia, Intel, Qualcomm and…ChatGPT
Nvidia Shows Off Grace Hopper in MLPerf Inference - EE Times
Winning MLPerf Inference 0.7 with a Full-Stack Approach
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
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