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NVIDIA Shows 3 Ways to Speed Up MoE Inference on DGX Spark, Lifting Ling-3.0-flash Throughput 42.5%

NVIDIA demonstrated three stacked optimizations that raised GSM8K decode throughput 42.5% on Ant Group inclusionAI's 124B Ling-3.0-flash model running MoE inference on a single DGX Spark, with no detectable accuracy change. The company detailed the approach in a post published November 3, 2026.

by read1 min views4 publishedNov 3, 2026

NVIDIA shows how 3 stacked optimizations speed up MoE inference on a single DGX Spark. On Ant Group inclusionAI's 124B Ling-3.0-flash, GSM8K decode throughput rose 42.5% with no detectable accuracy change.

The post NVIDIA Shows 3 Ways to Speed Up MoE Inference on DGX Spark, Lifting Ling-3.0-flash Throughput 42.5% appeared first on MarkTechPost.

source & further reading
marktechpost.com — original article Zyphra AI Introduces Zyphra Hierarchical Attention (ZHA): A Path to True Subquadratic Attention The Letter Company Releases Letterpress-1: A Coding Agent Built for Growth Engineering Deep Principle Releases Hydrogen-1.0: A 753B Open-Weight Model for Scientific Discovery
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