NewCost and speed
3 Ways to Boost MoE Inference on NVIDIA DGX Spark
Our short summary of NVIDIA’s engineering write-up. The full story, with all the detail, is on their blog.
Read the full write-up on developer.nvidia.com (opens in a new tab)Problem
MoE inference was slow because reading model weights limited token generation speed.
Solution
They replaced the MoE kernel with a runtime‑compiled version that caches binaries and reduced weight traffic, letting the model generate more tokens per step.
Research behind this, on AI Papers DailyTableTune: Measured, Self-Correcting Draft-Length Tables for Dynamic Speculative Decoding
Want the architecture, code and numbers? They’re in the original post.
Read the full write-up on developer.nvidia.com (opens in a new tab)