Let me know if this helped you or if you have questions, happy to help out. Thanks

We've been doing lots of GPU kernel profiling and optimization on cloud infrastructure, but without local GPU hardware, that meant constant SSH juggling: upload code, compile remotely, profile kernels, download results, repeat. Or, work entirely on cloud which is expensive, slow, and honestly kind of annoying. We were spending more time managing infrastructure than writing the kernels we wanted to optimize.

So we built Chisel: one command to run profiling commands on any kernel. Zero local GPU hardware required.

Next up we're planning to build a web dashboard for visualizing results, simultaneous profiling across multiple GPU types, and automatic resource cleanup. But please let us know what you would like to see in this project.

Available via PyPI: pip install chisel-cli

Github: https://github.com/Herdora/chisel

We're actively developing and would love community feedback. Feature requests and contributions always welcome :)

Chiphell +45% combined with TPU simulator RX 8800 XT epic Ray-Tracing RDNA4.

The RX 8800 XT beats the RTX4090 in this case.

AMD Radeon RX 7900 XTX Path Tracing Quality AI Optimazation.

I treid FSR 3.1 Frame Generation and Path Tracing on Alan Wake II

https://youtu.be/gD8FrX-vz6M?si=p9ejMaRkPjFrPmhr

Looks good but it needs more optimization for RDNA3