Wafer just dropped an AI performance engineering repo that covers:
This is a AI post classified by Jev as AI infra & evals (a free resource), kept by the AI Radar because it carries real work, not commentary.
Wafer just dropped an AI performance engineering repo that covers: > GPU fundamentals & CUDA > kernel optimization > FlashAttention > KV caching, quantization > NVIDIA, AMD & TPU architectures and all resources link to solid docs, papers, and repos.
Posted by ℏεsam (89.9k followers) 1 h ago · 56 likes · 3.2k views · view the original post on X. Kept by the AI Radar as AI infra & evals.
More AI work like this
- I've been trying to explain something to a few people this week, and I want to just put… — @volatilemarkts
- We are cooked. I made the Prediction once the M5 Ultra drops, These will be impossible… — @TechMDAI
- How I AI: spend 9¢ to look at ~1750 PRs and group them into thematic investments. 17,364… — @clairevo
- Last night, in a basement in Florida, one conversation ran across two kinds of silicon… — @volatilemarkts
- I have to retract what I posted as the fastest speed of Qwen 3.8 Flash on a single DGX… — @yume_arasaki
- 如何自己训练一个 Jev 一样的判断模型? — @AstroHanRay
- Qwen-Image-2.1 on one Spark: day-0 Comfy, 23/23, H3 kept — @MichaelGannotti
- UPDATE we COOKING ! — @Tech2Wild
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 35.1k posts from 5k X accounts over the last 14 days, 1.5k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-20 22:00 UTC. Full method.