I built a fused MoE dispatch kernel in pure Triton that handles the full forward pass for Mixture-of-Experts models. No CUDA, no vendor-specific code. On Mixtral-8x7B (A100), it beats Stanford's Megablocks at inference-relevant batch sizes (131% at 32 tokens, 124% at 128 tokens). At larger batches M
