Summary, MLPerf™ Inference v2.1 with NVIDIA GPU-Based Benchmarks on Dell PowerEdge Servers
Por um escritor misterioso
Last updated 29 março 2025

This white paper describes the successful submission, which is the sixth round of submissions to MLPerf Inference v2.1 by Dell Technologies. It provides an overview and highlights the performance of different servers that were in submission.

No Virtualization Tax for MLPerf Inference v3.0 Using NVIDIA
ESC4000A-E12 ASUS Servers and Workstations

MLPerf Inference v2.1 Results with Lots of New AI Hardware
G593-SD0 (rev. AAX1) GPU Servers - GIGABYTE U.S.A.

MLPerf Inference: Startups Beat Nvidia on Power Efficiency

A10 Tensor Core GPU
Accelerating ML Recommendation With Over A Thousand Risc-V/Tensor

Inference Results Comparison of Dell Technologies Submissions for

Benchmark MLPerf Inference: Datacenter

MLPerf Inference: Startups Beat Nvidia on Power Efficiency

NVIDIA MLPerf Inference V1.1 Performance Increase - ServeTheHome
Introducing Azure NC H100 v5 VMs for mid-range AI and HPC
Introducing Azure NC H100 v5 VMs for mid-range AI and HPC

GPU Server for AI - NVIDIA H100 or A100
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10 servers using the new Nvidia A100 GPUs - Hardware - CRN Australia
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