GPU Profiling That's Useful in 60 Seconds

Show HN: GPU Profiling That's Useful in 60 Seconds

GPU Profiling That's Useful in 60 Seconds operates in show hn launch.

Profile

Hey HN! We're building a profiler for ML inference that actually shows what's happening at the hardware level without having to manually parse through flame graphs, or set up nsys and ncu.The problem: Current ML profilers either dump too much data (torch.profiler) or abstract away the details you need. You can't see why your model is actually slow - is it memory bandwidth? Kernel launch overhead? Cache misses?Our approach: We're reverse engineering GPU execution to trace from Python ops down to PTX instructions. One decorator gives you the full execution graph with actual bottlenecks highlighted.Technical details: - Traces Python → CUDA kernels → PTX with timing breakdowns - Shows memory acc

As a business in show hn launch, GPU Profiling That's Useful in 60 Seconds is listed here with the public details available about it.

It is recorded at the Show HN launch stage.

Website: www.keysandcaches.com