{"slug": "nvidia-shows-3-ways-to-speed-up-moe-inference-on-dgx-spark-lifting-ling-3-0-42-5", "title": "NVIDIA Shows 3 Ways to Speed Up MoE Inference on DGX Spark, Lifting Ling-3.0-flash Throughput 42.5%", "summary": "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.", "body_md": "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.\n\nThe post [NVIDIA Shows 3 Ways to Speed Up MoE Inference on DGX Spark, Lifting Ling-3.0-flash Throughput 42.5%](https://www.marktechpost.com/2026/11/03/nvidia-dgx-spark-moe-inference-ling-3-0-flash/) appeared first on [MarkTechPost](https://www.marktechpost.com).", "url": "https://wpnews.pro/news/nvidia-shows-3-ways-to-speed-up-moe-inference-on-dgx-spark-lifting-ling-3-0-42-5", "canonical_source": "https://www.marktechpost.com/2026/11/03/nvidia-dgx-spark-moe-inference-ling-3-0-flash/", "published_at": "2026-11-03 20:28:22+00:00", "updated_at": "2026-11-03 22:19:32.051596+00:00", "lang": "en", "topics": ["artificial-intelligence", "machine-learning", "large-language-models", "ai-infrastructure", "ai-chips"], "entities": ["NVIDIA", "DGX Spark", "Ant Group", "inclusionAI", "Ling-3.0-flash", "GSM8K"], "also_reported_by": [], "alternates": {"html": "https://wpnews.pro/news/nvidia-shows-3-ways-to-speed-up-moe-inference-on-dgx-spark-lifting-ling-3-0-42-5", "markdown": "https://wpnews.pro/news/nvidia-shows-3-ways-to-speed-up-moe-inference-on-dgx-spark-lifting-ling-3-0-42-5.md", "text": "https://wpnews.pro/news/nvidia-shows-3-ways-to-speed-up-moe-inference-on-dgx-spark-lifting-ling-3-0-42-5.txt", "jsonld": "https://wpnews.pro/news/nvidia-shows-3-ways-to-speed-up-moe-inference-on-dgx-spark-lifting-ling-3-0-42-5.jsonld"}}