# policy-governed power sharing

NVIDIA and Nscale jointly evaluated DSX MaxLPS policy-governed dynamic power allocation with Kimi K2.5 (FP4) inference workloads on NVIDIA GB300 NVL72 systems at Nscale's data center at the Verne campus in Keflavík, Iceland: under the same 264.4 kW approved power budget, managed GPUs rose from 140 to 192 (+37.1%), aggregate throughput rose from 1,084,503 to 1,618,443 tokens/s (+49.2%), throughput per provisioned watt rose from 4.10 to 6.12 tokens/s/W (+49.2%), median and P75 latency stayed within 5% of baseline, while P99 time to first token increased 17% from the 15.7-second baseline.

NVIDIA and Nscale jointly evaluated DSX MaxLPS policy-governed dynamic power allocation with Kimi K2.5 (FP4) inference workloads on NVIDIA GB300 NVL72 systems at Nscale's data center at the Verne campus in Keflavík, Iceland: under the same 264.4 kW approved power budget, managed GPUs rose from 140 to 192 (+37.1%), aggregate throughput rose from 1,084,503 to 1,618,443 tokens/s (+49.2%), throughput per provisioned watt rose from 4.10 to 6.12 tokens/s/W (+49.2%), median and P75 latency stayed within 5% of baseline, while P99 time to first token increased 17% from the 15.7-second baseline.