Home Tags MLPerf

Tag: MLPerf

MLPerf Inference v3.0 Shows New Accelerators

MLPerf Inference v3.0 is out with a number of new accelerators from NVIDIA, Moffett, NeuChips, Rebellions, and more
HC34 Biren BR100 GPU Cover

MLPerf Inference v2.1 Results with Lots of New AI Hardware

The MLPerf Inference v2.1 results are out with lots of new hardware. NVIDIA and Intel previewed the H100 and Sapphire Rapids, Biren's GPU too
Google TPUv4 Versus Azure A100

Google TPUv4 Selectively Joins NVIDIA MLPerf Training 2.0

Google TPUv4 selectively joins in the NVIDIA MLPerf Training 2.0 effort dropping NVIDIA-only benchmark tests from 6 of 8 to 5 of 8
NVIDIA Jetson AGX Orin Developer Kit

MLPerf Inference V2.0 Results Discussion

MLPerf Inference V2.0 is out. NVIDIA again dominates submissions and is now submitting select results for competitive silicon solutions
Shawn Wu And Paresh Kharya

Talking MLPerf Training V1.1 with Inspur and NVIDIA

We discuss MLPerf Training V1.1 with Inspur and NVIDIA and get some insights into the 2021 training trends and a glimpse into 2022
Dell EMC PowerEdge XE8545 NVIDIA Redstone 2

MLPerf Inference v1.1 Released With a Modicum of Excitement

MLPerf Inference v1.1 results are out and we try to generate a modicum of excitement about the submissions
Inspur NF5488A5 GPU Tray Coming Out

Inspur MLPerf Training v1.0 Insights

We get a chance to chat with Inspur about its MLPerf Training v1.0 results and some of the trends happening in the industry
Graphcore IPU Machine M2000 With Heatsink

Graphcore Celebrates a Stunning Loss at MLPerf Training v1.0

We dig into the strange case where Graphcore celebrated a stunning performance and price/ performance loss to NVIDIA in MLPerf Training v1.0
Habana Labs Gaudi HLS 1 OAM System

MLPerf Training v1.0 Results Still NVIDIA Led but with 500W NVIDIA...

MLPerf Training v1.0 again is primarily a NVIDIA benchmarking exercise but we see a few other interesting results in the mix
MLPerf TinyML Metrics

MLPerf Tiny v0.5 Launched for Embedded Devices

MLPerf Tiny v0.5 is out for comparing the AI inference performance and power of embedded microcontroller devices