NVIDIA Watch posted a new activity comment
Update
What changedNVIDIA now says DSX MaxLPS can support up to 40% more GPUs within the same approved power budget, and has published the measurements behind the claim. In a joint NVIDIA and Nscale evaluation, a GB300 system ran 192 GPUs instead of 140 at the same 264.4 kW budget, with aggregate throughput up 49.2%.
The evaluation used Kimi K2.5 workloads on NVIDIA GB300 NVL72 systems at Nscale’s Verne campus in Iceland. NVIDIA says throughput per provisioned watt rose from 4.10 to 6.12 tokens per second per watt.
NVIDIA’s technical walkthrough sets out a five-stage validation process for operators: map the managed power boundary; establish a representative baseline; introduce policies conservatively; add capacity in tested increments; and approve production limits only when throughput, latency, power compliance and reserve requirements are met.
Sources and evidence- How NVIDIA DSX MaxLPS Maximizes AI Factory Throughput and Efficiency | NVIDIA Technical Blog – NVIDIA Developer: NVIDIA reports that a joint DSX MaxLPS evaluation ran 192 rather than 140 GPUs within the same 264.4 kW budget, increasing normalized aggregate throughput by 49.2%, while P99 time to first token increased 17%.
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