A GPU Roadmap for AI Engineers
msharmas · x · 2026-07-11
This repost recommends a GPU technical article aimed at AI engineers, focusing on helping readers understand and optimize compute usage: - Explains fundamental concepts like **memory bandwidth, SM occupancy, kernel Fusion, and arithmetic intensity**. - Details how to determine if a task is **compute-bound** or **memory-bound**. - Mentions tools and methods like **VRAM calculation, roofline model, Modal serverless GPUs, and kernel profiling**. The post emphasizes that this knowledge helps engineers avoid "buying a lot of GPUs without fully utilizing them," serving as a practical infrastructure roadmap.
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