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?
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! 🙌🔥
This is absolutely fantastic — it sounds like a game-changer for CUDA developers! Huge congratulations on the launch! Cheering you on all the way 🎉
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.
How does it decide what to tweak in the kernel? The suggestions were actually veryy helpful
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!
