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?
Wow, this is turning into quite the marathon! 🏁 I can tell numbers are your thing — maybe it’s time for a pit stop and a little strategy talk. What do you say? 😄
Automatically profiling, detecting bottlenecks, and optimizing CUDA kernels for peak performance is a game-changer. It saves developers countless hours of manual tuning and ensures that applications run faster and more efficiently than ever before. Truly a powerful step toward smarter, high-performance computing!
Congratulations on making something so beautiful. @jaber23
This is really an amazing product great work to @jaber23. Huge congratulations on your LAUNCH.
The improvements in speed, accuracy, and user experience make it one of the most reliable AI tools out there. Love how intuitive and powerful it is—definitely a must-try for anyone looking to boost productivity with AI. Great job on the update!
With Al technology everything is very easy especially the work you do in autopilot
Absolutely game-changing. Instant bottleneck detection + AI-driven kernel optimization makes CUDA development so much smoother. Excited to see how this accelerates workflows across different architectures. Huge congrats on the launch! 🔥
Should CUDA engineers really be vibe coding?
I mean, an NVIDIA H100 Tensor Core GPU is priced at ~$35,000.
If anyone should avoid vibe coding, I'd think it'd be GPU engineers??
