Why missing more than 20% of video memory with TensorFlow both Linux and Windows? [RTX 3080] - General Discussion - TensorFlow Forum
Training on rtx 2080 ti with cuda 9 is very slow. · Issue #1938 · matterport/Mask_RCNN · GitHub
RTX3090 TensorFlow, NAMD and HPCG Performance on Linux (Preliminary)
2 x RTX2070 Super with NVLINK TensorFlow Performance Comparison
Install CUDA, cuDNN, TensorFlow, PyTorch on RTX 30xx using Ubuntu 20.04 in 2022 - YouTube
NVIDIA RTX A6000 Deep Learning Benchmarks for TensorFlow | Exxact Blog
Tensorflow CUDA vs DirectML on 3090,Titan RTX and Radeon 6800 😮 - YouTube
RTX 2080 Ti Deep Learning Benchmarks with TensorFlow
TensorFlow, PyTorch or MXNet? A comprehensive evaluation on NLP & CV tasks with Titan RTX | Synced
Titan V Deep Learning Benchmarks with TensorFlow
Install TensorFlow & PyTorch for the RTX 3090, 3080, 3070
NVIDIA Quadro RTX 6000 GPU Performance Benchmarks for TensorFlow | Exxact Blog
TensorFlow Performance with 1-4 GPUs -- RTX Titan, 2080Ti, 2080, 2070, GTX 1660Ti, 1070, 1080Ti, and Titan V
Benchmarking deep learning workloads with tensorflow on the NVIDIA GeForce RTX 3090
Just want to share some benchmarks I've done with the Zotac GeForce RTX 3070 Twin Edge OC, Tensorflow 1.x and Resnet-50. It looks that FP16 is not working as expected. Also is
RTX 2080 Ti Deep Learning Benchmarks with TensorFlow
NVIDIA GeForce RTX 2080 Ti To GTX 980 Ti TensorFlow Benchmarks With ResNet-50, AlexNet, GoogLeNet, Inception, VGG-16 Review - Phoronix
NVIDIA A5000 Deep Learning Benchmarks for TensorFlow
2 x RTX2070 Super with NVLINK TensorFlow Performance Comparison
TensorFlow 2 and RTX 3090 Performance | Softology's Blog
Using TensorFlow on Windows 10 with Nvidia RTX 3000 series GPUs | by Taylr Cawte | Analytics Vidhya | Medium