I haven't personally run any benchmarks or performance tests, but in my experience, it works well. I came across some research from a few years ago suggesting that WSL2 (being virtualized) achieves CUDA performance comparable to native Linux, with differences within 1% in certain benchmarks. However, other research indicate that native Linux can be up to 33% faster in specific scenarios. I’d say this depends on the library implementation, as PyTorch, for example, has some performance issues. That said, for daily work, I haven't noticed any significant issues.
Have you tested performance against running CUDA in native Linux? If so, do you notice any slowdown running CUDA in WSL in comparison?
Hi Scott, thanks for your questions.
I haven't personally run any benchmarks or performance tests, but in my experience, it works well. I came across some research from a few years ago suggesting that WSL2 (being virtualized) achieves CUDA performance comparable to native Linux, with differences within 1% in certain benchmarks. However, other research indicate that native Linux can be up to 33% faster in specific scenarios. I’d say this depends on the library implementation, as PyTorch, for example, has some performance issues. That said, for daily work, I haven't noticed any significant issues.
References:
Developer Nvidia blog
Hacker News discussion
Video Games AI
That's cool - I may have to check this out. Thanks!