Skip to main content
usedby
Search tools, companies

How Nvidia uses TrueFoundry

6 weeks

“ship a working PoC in just 6 weeks”

As published on truefoundry.com. Checked by usedby on Oct 9, 2026.

What happened

NVIDIA's team built a multi-agent LLM system and domain-specific models on TrueFoundry. The system analyzes real-time GPU cluster telemetry, rates GPU utilization, and suggests workload optimizations. TrueFoundry handles model switching, agent deployment, and hybrid and cross-cloud environments.

Summary written by usedby from the source page, in English. The figures are those of TrueFoundry and Nvidia, not ours.

We could easily switch models out as per use case, and as new ones were released, this pace of fast experimentation helped us ship a working PoC in just 6 weeks

From the page. truefoundry.com

We could easily switch models out as per use case, and as new ones were released, this pace of fast experimentation helped us ship a working PoC in just 6 weeks

Aaron, Nvidia. Source

We could easily switch models out as per use case, and as new ones were released, this pace of fast experimentation helped us ship a working PoC in just 6 weeks

Aaron Erickson, Senior Engineering Manager, Nvidia. Source, captured Oct 9, 2026

What the story claims, and what we checked

What we compared with the page.

  • The figure: 6 weeksCheckedPrinted word for word on the page, near the name of Nvidia.
  • The passage quoted aboveCheckedCopied word for word from the page, near the name of Nvidia.
  • Nvidia uses TrueFoundryCheckedConfirmed line.
  • The result itselfNot checkedWe quote it; we did not measure it.

Same company, same tool or same industry.

6 hrsAverage time to merge, down from 24+ hrsNvidia uses Greptile. Another tool at Nvidia2.5x“train models 2.5x faster than previously experienced on NVIDIA H200s”Mistral AI uses CoreWeave. Same industry: Artificial Intelligence75%“saving 75% in cloud costs”NovelAI uses CoreWeave. Same industry: Artificial Intelligence