# Blackwell Notes

This repository targets a Blackwell-style workflow, but keeps the build configuration explicit because local toolchain support may differ across systems.

## Build Guidance

- Prefer explicit architecture selection over hidden defaults.
- Use `KERNEL_LAB_CUDA_ARCH=120` for Python-side build helpers when your local environment supports it.
- Use `-DCMAKE_CUDA_ARCHITECTURES=120` with CMake for direct native builds.
- If your toolkit does not yet accept the exact architecture value you want, adjust the build flag rather than editing the kernels.

## What To Watch On A New GPU Generation

- compiler support for the target architecture
- PyTorch wheel compatibility
- Triton support level
- driver/toolkit mismatch
- profiler tool compatibility

Treat environment validation as part of the lab, not as a one-time setup nuisance.