Training and running neural networks often requires hardware acceleration, and the most popular hardware accelerator is the venerable graphics processing unit, or GPU.
Please file an issue or make a pull request to this repo, editing this file to update the text on this page or one of the CSV files to update the data: cloud-gpus.csv for servers and serverless-gpus.csv for serverless options.
If you want advice on which machines and cards are best for your use case, we recommend Tim Dettmer's blog post on GPUs for deep learning.
The whole post is a tutorial and FAQ on GPUS for DNNs, but if you just want the resulting heuristics for decision-making, see the "GPU Recommendations" section, which is the source of the chart below.
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