3 Ways to Boost MoE Inference on NVIDIA DGX Spark

Hrih News covers a technique write-up on speeding up Ling-3.0-flash, a 124-billion-parameter mixture-of-experts model, on NVIDIA DGX Spark. Three changes are tested: a Humming MXFP4 MoE kernel backend, FP8 quantization of the output layer, and multi-token prediction speculative decoding using the model's built-in NEXTN layer.