@SemiAnalysis_ reply (Wed Oct 21 23:47:25 +0000 2026): AMD's FlyDSL achieve this by running an entire GLM 5 layer in one | Hanami
@SemiAnalysis_ reply (Wed Oct 21 23:47:25 +0000 2026): AMD's FlyDSL achieve this by running an entire GLM 5 layer in one program per GPU. Each GPU handles its share of the work and exchanges results with the others as the layer progresses.
Keeping that work together means fewer stops and handoffs between kernels.
GLM-5 MonoKernel👇️ (3/8) https://github.com/ROCm/FlyDSL/pull/1205
Original @SemiAnalysis_ reply (Wed Oct 21 23:47:24 +0000 2026): A kernel is a program launched on an accelerator. Combining more work into fewer kernels lets teams coordinate it over a longer stretch, with fewer interruptions.
At small batch sizes, individual operations finish quickly, so the pauses between them can take up a larger share of each decode step.
Agentic workloads make fast responses more valuable, giving teams more reason to invest in reducing that waiting. (2/8)
Original: unavailable