---
title: "AI Factories"
description: "1 posts about AI Factories, summarised, each linking to the original."
---

# AI Factories
> 1 posts about AI Factories, summarised, each linking to the original.

## Articles

### [How NVIDIA DSX MaxLPS Maximizes AI Factory Throughput and Efficiency](https://yomu.fyi/post/how-nvidia-dsx-maxlps-maximizes-ai-factory-throughput-and-efficiency.md)
- Company: [NVIDIA](https://yomu.fyi/company/nvidia-developer-blog.md)
- Author: Sarah McKenney
- Published: Sep 28, 2026
- Type: Benchmark

AI factories often underutilize power capacity due to static provisioning for peak GPU draw. NVIDIA DSX MaxLPS uses policy-governed dynamic power allocation to reclaim stranded capacity. In a joint evaluation with Nscale using Kimi K2.5 workloads on GB300 NVL72 systems, DSX MaxLPS enabled 37% more GPUs (192 vs 140) within the same 264.4 kW budget. Aggregate throughput increased 49.2% to 1.62 million tokens/s, while per-instance throughput remained unchanged and median latency stayed within 5% of baseline. However, P99 time to first token increased 17%, highlighting the need to evaluate tail latency alongside capacity gains.