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NVIDIA Turing GPU Based Tesla T4 Announced - 260 TOPs at Just 75W
NVIDIA Turing GPU Based Tesla T4 Announced - 260 TOPs at Just 75W

Supermicro | News | Supermicro Systems Deliver 170 TFLOPS FP16 of Peak  Performance for Artificial Intelligence, and Deep Learning, at GTC 2017
Supermicro | News | Supermicro Systems Deliver 170 TFLOPS FP16 of Peak Performance for Artificial Intelligence, and Deep Learning, at GTC 2017

Automatic Mixed Precision for NVIDIA Tensor Core Architecture in TensorFlow  | NVIDIA Technical Blog
Automatic Mixed Precision for NVIDIA Tensor Core Architecture in TensorFlow | NVIDIA Technical Blog

Nvidia Unveils Pascal Tesla P100 With Over 20 TFLOPS Of FP16 Performance -  Powered By GP100 GPU With 15 Billion Transistors & 16GB Of HBM2
Nvidia Unveils Pascal Tesla P100 With Over 20 TFLOPS Of FP16 Performance - Powered By GP100 GPU With 15 Billion Transistors & 16GB Of HBM2

Mixed Precision Training
Mixed Precision Training

Review: Nvidia Turing Architecture Examined And Explained - Graphics -  HEXUS.net - Page 4
Review: Nvidia Turing Architecture Examined And Explained - Graphics - HEXUS.net - Page 4

NVIDIA A100 Deep Learning Benchmarks for TensorFlow | Exxact Blog
NVIDIA A100 Deep Learning Benchmarks for TensorFlow | Exxact Blog

Titan V Deep Learning Benchmarks with TensorFlow
Titan V Deep Learning Benchmarks with TensorFlow

Turing FP16 Discussion : r/nvidia
Turing FP16 Discussion : r/nvidia

Caffe2 adds 16 bit floating point training support on the NVIDIA Volta  platform | Caffe2
Caffe2 adds 16 bit floating point training support on the NVIDIA Volta platform | Caffe2

Revisiting Volta: How to Accelerate Deep Learning - The NVIDIA Titan V Deep  Learning Deep Dive: It's All About The Tensor Cores
Revisiting Volta: How to Accelerate Deep Learning - The NVIDIA Titan V Deep Learning Deep Dive: It's All About The Tensor Cores

Train With Mixed Precision :: NVIDIA Deep Learning Performance Documentation
Train With Mixed Precision :: NVIDIA Deep Learning Performance Documentation

Testing AMD Radeon VII Double-Precision Scientific And Financial  Performance – Techgage
Testing AMD Radeon VII Double-Precision Scientific And Financial Performance – Techgage

NVIDIA A100 | AI and High Performance Computing - Leadtek
NVIDIA A100 | AI and High Performance Computing - Leadtek

Mixed-Precision Programming with CUDA 8 | NVIDIA Technical Blog
Mixed-Precision Programming with CUDA 8 | NVIDIA Technical Blog

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
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

AMD FidelityFX Super Resolution FP32 fallback tested, native FP16 is 7%  faster - VideoCardz.com
AMD FidelityFX Super Resolution FP32 fallback tested, native FP16 is 7% faster - VideoCardz.com

Choose FP16, FP32 or int8 for Deep Learning Models
Choose FP16, FP32 or int8 for Deep Learning Models

Nvidia Unveils Pascal Tesla P100 With Over 20 TFLOPS Of FP16 Performance -  Powered By GP100 GPU With 15 Billion Transistors & 16GB Of HBM2
Nvidia Unveils Pascal Tesla P100 With Over 20 TFLOPS Of FP16 Performance - Powered By GP100 GPU With 15 Billion Transistors & 16GB Of HBM2

Mysterious "GPU-N" in research paper could be GH100 NVIDIA Hopper GPU with  100GB of HBM2 VRAM, 8576 CUDA Cores, and 779 TFLOPs of FP16 compute -  NotebookCheck.net News
Mysterious "GPU-N" in research paper could be GH100 NVIDIA Hopper GPU with 100GB of HBM2 VRAM, 8576 CUDA Cores, and 779 TFLOPs of FP16 compute - NotebookCheck.net News

AMD FidelityFX Super Resolution FP32 fallback tested, native FP16 is 7%  faster - VideoCardz.com
AMD FidelityFX Super Resolution FP32 fallback tested, native FP16 is 7% faster - VideoCardz.com

Revisiting Volta: How to Accelerate Deep Learning - The NVIDIA Titan V Deep  Learning Deep Dive: It's All About The Tensor Cores
Revisiting Volta: How to Accelerate Deep Learning - The NVIDIA Titan V Deep Learning Deep Dive: It's All About The Tensor Cores