Case Study: NVIDIA improves GPU cluster utilization with TrueFoundry

How improves GPU Cluster utilization with LLM Agents

NVIDIA, the world's leading supplier of GPUs, faced skyrocketing global demand that was outstripping its ability to supply clients. To increase the ROI and utilization of its existing GPU fleet and reduce fulfillment times, the company needed a novel solution to automate cluster optimization, a challenge they addressed with the help of TrueFoundry.

The solution involved building and deploying a multi-agent LLM system on the TrueFoundry platform. This system processes real-time GPU telemetry data to analyze, optimize, and suggest actions for improving cluster performance. By leveraging TrueFoundry to solve engineering challenges like hybrid-cloud management and seamless model switching, the NVIDIA team shipped a working proof of concept in just six weeks, leading to substantial improvements in GPU utilization that allowed them to serve more clients.

NVIDIA

Aaron Erickson

Senior Engineering Manager Autonomous Observability Team