Caffe and Torch7 ported to AMD GPUs, MXnet WIP - StreamHPC
Theano/config.txt at master · Theano/Theano · GitHub
BIZON ZX9000 (AMD EPYC)
I have set devices=cuda0, but the program still use cpu · Issue #6065 · Theano/Theano · GitHub
Using Keras & Tensorflow with AMD GPU
Tensorflowだけじゃない？ディープラーニングフレームワーク8選！ | 侍エンジニアブログ
BIZON ZX9000 (AMD EPYC)
Deep Learning Benchmarks of NVIDIA Tesla P100 PCIe, Tesla K80, and Tesla M40 GPUs - Microway
Deep Learning Frameworks: A Survey of TensorFlow, Torch, Theano, Caffe, Neon, and the IBM Machine Learning Stack - Microway
Using Keras & Tensorflow with AMD GPU
AMD Gets in Machine Learning Game with New Radeon GPUs | TOP500
Nvidia vs AMD/ATI GPU cards for scientific computation: which is better? - Quora
cuda - MAC getting Theano to use the GPU - Stack Overflow
Reducing Acceleration Structure Memory with NVIDIA RTXMU | NVIDIA Technical Blog
DockerでJupyterlab使ってコード実行してみた | Dell eカタログサイト
Is machine learning in Python best done with Nvidia based GPUs or can AMD GPUs also be used just as well in terms of features, compatibility and performance? - Quora
お知らせ｜ UNIV｜大学・研究機関向けオーダーメイドPC
PlaidML Kerasでやっていく #TokyoR 73
Install TensorFlow & PyTorch for the RTX 3090, 3080, 3070
Nvidia's 'GPU Cloud' Adopts Containers for AI Development
Caffe and Torch7 ported to AMD GPUs, MXnet WIP - StreamHPC
Evaluating PlaidML and GPU Support for Deep Learning on a Windows 10 Notebook | by franky | DataDrivenInvestor
