後藤弘茂のWeekly海外ニュース】NVIDIAが次世代グラフィックスのために作ったGPU「GeForce RTX」ファミリー - PC Watch
Caffe2 adds 16 bit floating point training support on the NVIDIA Volta platform | Caffe2
Titan V Deep Learning Benchmarks with TensorFlow
TensorFlow Performance with 1-4 GPUs -- RTX Titan, 2080Ti, 2080, 2070, GTX 1660Ti, 1070, 1080Ti, and Titan V | Puget Systems
Deep Dive Into Nvidia's “Hopper” GPU Architecture
Harnessing GPU Tensor Cores for Fast FP16 Arithmetic to Speed up Mixed-Precision Iterative Refinement Solvers
Nvidia Unveils Pascal Tesla P100 With Over 20 TFLOPS Of FP16 Performance - Powered By GP100 GPU With 15 Billion Transistors & 16GB Of HBM2
Arm NN for GPU inference FP16 and FastMath - AI and ML blog - Arm Community blogs - Arm Community
TensowflowでFP16をいい感じに使って自動で高速化してくれるAutomatic Mixed Precision | cocoinit23
Apache MXNet リリースに追加された新しい NVIDIA Volta GPU と Sparse Tensor のサポート | Amazon Web Services ブログ
NVIDIA's 80-billion transistor H100 GPU and new Hopper Architecture will drive the world's AI Infrastructure - HardwareZone.com.sg
More In-Depth Details of Floating Point Precision - NVIDIA CUDA - PyTorch Dev Discussions
Titan V Deep Learning Benchmarks with TensorFlow
Nvidia V100 | The Linux Cluster
FP16 Demotion: A Trick Used by ATI to Boost Benchmark Score Says NVIDIA | Geeks3D
TensorFlowでディープラーニング性能をGPU別にベンチマーク比較 | パソコン工房 NEXMAG
FP16 Throughput on GP104: Good for Compatibility (and Not Much Else) - The NVIDIA GeForce GTX 1080 & GTX 1070 Founders Editions Review: Kicking Off the FinFET Generation
Testing AMD Radeon VII Double-Precision Scientific And Financial Performance – Techgage
Benchmarking GPUs for Mixed Precision Training with Deep Learning
Accelerating TensorFlow on NVIDIA A100 GPUs - Edge AI and Vision Alliance
FP16 Throughput on GP104: Good for Compatibility (and Not Much Else) - The NVIDIA GeForce GTX 1080 & GTX 1070 Founders Editions Review: Kicking Off the FinFET Generation
