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309 points lights0123 | 1 comments | | HN request time: 0.207s | source

CUDA is NVIDIA's language for GPU programming, allowing you to mix write CPU and GPU code in C++ in one file. By chaining a few projects that compile CUDA to OpenCL, then Vulkan, then WebGPU, you can experiment with this GPGPU language on any hardware.
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punnerud ◴[] No.42627113[source]
How performant is the CUDA code in browser compared to standalone program?

Could we have PyTorch / ML training with CUDA through the browser performing ok?

replies(3): >>42627457 #>>42632327 #>>42632538 #
1. machinekob ◴[] No.42632327[source]
WebGPU don't have access to most accelerators in GPU so it would be super slow compared to CUDNN version but pure CUDA would be only x times times faster.