AMD Instinct MI200 Adopts OAM and a 4.9x Speedup Over NVIDIA A100
The Best GPUs for Deep Learning in 2020 — An In-depth Analysis
AMD V7800 and NVIDIA T10 GPU speedups in comparison to the runtime on a... | Download Scientific Diagram
Nvidia plans to employ GPUs and AI to speed up and improve semiconductor design in the future - Bhive Design Blog
NVIDIA Ampere A100 Is The Fastest AI GPU, 4.2x Faster Than Volta V100
All You Need Is One GPU: Inference Benchmark for Stable Diffusion
AMD ROCm 4.0 Speedup - ServeTheHome
In latest benchmark test of AI, it's mostly Nvidia competing against Nvidia | ZDNET
Are GPUs Non-Green Computing Devices?
Python, Performance, and GPUs. A status update for using GPU… | by Matthew Rocklin | Towards Data Science
GPU Acceleration
Nvidia unveils new technology to speed up AI, launches new supercomputer | Reuters
The Computational Fluid Dynamics Revolution Driven by GPU Acceleration | NVIDIA Technical Blog
Performance comparison between A100 and V100 NVidia GPU cards vs AMD... | Download Scientific Diagram
Accelerating the Wide & Deep Model Workflow from 25 Hours to 10 Minutes Using NVIDIA GPUs | NVIDIA Technical Blog
The speedup was obtained by comparison two GPU's: GPU AMD Radeon R9... | Download Scientific Diagram
Speed up Conversion Time with NVIDIA CUDA & AMD APP technology
Can You Close the Performance Gap Between GPU and CPU for Deep Learning Models? - Deci
Meta unveils it's AITemplate GPU framework - SemiAccurate
Gromacs performance on different GPU types
Comparison of CPU and GPU performance in Open Pandemics Project
Deep Learning GPU Benchmarks - V100 vs 2080 Ti vs 1080 Ti vs Titan V
TensorFlow Performance with 1-4 GPUs -- RTX Titan, 2080Ti, 2080, 2070, GTX 1660Ti, 1070, 1080Ti, and Titan V | Puget Systems
Performance comparison of image classification models on AMD/NVIDIA with PyTorch 1.8 | SURF Communities
