Posts by Ashraf Eassa
Data Center / Cloud
Apr 05, 2023
Setting New Records in MLPerf Inference v3.0 with Full-Stack Optimizations for AI
The most exciting computing applications currently rely on training and running inference on complex AI models, often in demanding, real-time deployment...
15 MIN READ
Simulation / Modeling / Design
Nov 09, 2022
Leading MLPerf Training 2.1 with Full Stack Optimizations for AI
MLPerf benchmarks, developed by MLCommons, are critical evaluation tools for organizations to measure the performance of their machine learning models' training...
14 MIN READ
Simulation / Modeling / Design
Sep 08, 2022
Full-Stack Innovation Fuels Highest MLPerf Inference 2.1 Results for NVIDIA
Today’s AI-powered applications are enabling richer experiences, fueled by both larger and more complex AI models as well as the application of many models in...
14 MIN READ
Simulation / Modeling / Design
Aug 23, 2022
Upgrading Multi-GPU Interconnectivity with the Third-Generation NVIDIA NVSwitch
Increasing demands in AI and high-performance computing (HPC) are driving a need for faster, more scalable interconnects with high-speed communication between...
13 MIN READ
Simulation / Modeling / Design
Aug 23, 2022
Inside NVIDIA Grace CPU: NVIDIA Amps Up Superchip Engineering for HPC and AI
NVIDIA Grace CPU is the first data center CPU developed by NVIDIA. It has been built from the ground up to create the world’s first superchips. Designed...
10 MIN READ
Computer Vision / Video Analytics
Jun 30, 2022
The Full Stack Optimization Powering NVIDIA MLPerf Training v2.0 Performance
MLPerf benchmarks are developed by a consortium of AI leaders across industry, academia, and research labs, with the aim of providing standardized, fair, and...
14 MIN READ