We've built the tool CUDA engineers have always wanted:
- Identify performance bottlenecks instantly
- Generate optimized kernels without writing code
- Profile across any NVIDIA architecture
- Iterate until you reach optimal performance
Your next steps:
- Describe what you need (or upload existing code)
- Let our AI generate optimized CUDA kernels
- Profile and iterate for peak performance
P.S. What features would you like to see added to RightNow AI:D?
This looks super useful — CUDA optimization can be such a pain, and having a tool that helps spot bottlenecks and generate better kernels sounds like a huge win. Would love to see support for multi-GPU workflows down the line!
@suryansh_tiwari2 We profiile the code on serverless GPUs to spot bottlenecks based on the specific GPU architecture. Each GPU has its own features and limits, so we adjust the kernels to match what that GPU does best.
This sounds like a dream for GPU devs. Any plans to support mixed precision optimization or handle edge cases where memory access patterns dominate bottlenecks? Would love to hear what’s on the roadmap.
I just explored the product and I’m genuinely impressed by how intuitive and fast it is. The real-time insights and automation capabilities are going to be game-changers for businesses looking to scale smarter. Excited to see how this evolves — keep up the amazing work! 🙌🔥
Replies
RightNow AI
RightNow AI
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RightNow AI
@smrati_tiwari4 Thanks for the feedback:D
This looks super useful — CUDA optimization can be such a pain, and having a tool that helps spot bottlenecks and generate better kernels sounds like a huge win. Would love to see support for multi-GPU workflows down the line!
RightNow AI
No-code optimization is huge for CUDA engineers! 😄
RightNow AI
EverTutor AI
How does it decide what to tweak in the kernel? The suggestions were actually veryy helpful
RightNow AI
@suryansh_tiwari2 We profiile the code on serverless GPUs to spot bottlenecks based on the specific GPU architecture. Each GPU has its own features and limits, so we adjust the kernels to match what that GPU does best.
This sounds like a dream for GPU devs. Any plans to support mixed precision optimization or handle edge cases where memory access patterns dominate bottlenecks? Would love to hear what’s on the roadmap.
RightNow AI
Great work team! Congrats on your launch :)
RightNow AI
This is absolutely fantastic — it sounds like a game-changer for CUDA developers! Huge congratulations on the launch! Cheering you on all the way 🎉
I just explored the product and I’m genuinely impressed by how intuitive and fast it is. The real-time insights and automation capabilities are going to be game-changers for businesses looking to scale smarter.
Excited to see how this evolves — keep up the amazing work! 🙌🔥