NVIDIA DSX Boosts AI Factory Efficiency with 24% Token Gain
Alvin Lang Sep 15, 2026 19:28 NVIDIAs DSX platform improves AI factory efficiency, achieving 24% more token throughput in fixed power budgets, reshaping industrial AI. NVIDIA‘s push into industrial-scale AI continues to deliver measurable results. At the 2026 AI Infra Summit, the company revealed that its DSX MaxLPS platform increased token throughput by 24% at cloud provider Lambda’s AI factory, all within a fixed power budget. This breakthrough underscores NVIDIA‘s vision for ’AI factories as next-generation infrastructure where power efficiency defines productivity. Lambda‘s test environment, which spanned a 19-node NVIDIA HGX B200 GPU cluster, demonstrated how dynamic power allocation and workload optimization recover stranded capacity. By running 19 nodes at 85% power instead of 16 nodes at full power, the system boosted token throughput from 4 million to 5 million tokens per second, with performance per watt improving by 23%. This efficiency gain could scale up to 40% more GPU capacity in future facilities using NVIDIA’s Vera Rubin NVL72 architecture, set for deployment in 2027. Power constraints are a growing issue for AI infrastructure. NVIDIAs DSX suite—introduced earlier this year—addresses this challenge by optimizing energy use across compute, cooling, and grid interaction. DSX MaxLPS focuses on maximizing token production from a fixed energy supply, while









