Wafer makes GPU kernel work feel like a normal dev loop. Stay inside VS Code / Cursor, profile with Nsight Compute, inspect PTX/SASS, jump to the right docs, and iterate with an AI assistant that explains what to try next.
This is built for engineers who can write CUDA but don’t yet have the “profiler + assembly intuition” - and for teams who want faster iteration without burning GPU hours doing CPU work.
Why Wafer
GPU performance workflows are still fragmented:
You profile in one tool, read counters you’re not sure how to prioritize
You inspect PTX/SASS somewhere else, with little context on what matters
You bounce between docs, blog posts, and guesses
If you’re developing remotely, you waste time (and money) keeping a GPU attached while you’re just editing code
Wafer pulls the loop into your editor and makes it repeatable.
What you get
1) Nsight Compute report analysis (NCU)
Open .ncu-rep reports directly in VS Code and get a structured view of what matters:
