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Published
22/100

Ant Ling reports three optimizations boosting inference throughput

AIAnt Ling says three optimizations raised its throughput, with humming MXFP4 MoE kernels adding 9.3% and online FP8 LM-head quantization adding 21.7% cumulatively. It says NEXTN-based MTP drafts and verifies multiple tokens per round, reducing the number of decoding steps while the first two cut the cost per step.
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Part of a thread · earlier post

Three optimizations made the difference:
1. Humming MXFP4 MoE kernels: +9.3%
2. Online FP8 LM-head quantization: +21.7% cumulatively
3. NEXTN-based MTP: drafting and verifying multiple tokens per round
The first two reduce the cost per step. MTP reduces the number of steps.

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Ant Ling · x.comPublished · added here

Original title: Three optimizations made the difference: