NVIDIA Exemplar Cloud: Lessons for Unlocking Full Performance on AI Infrastructure
NVIDIA, Thursday, July 30th, 2026
NVIDIA explains why identical GPU clusters deliver materially different throughput and what closes the gap.
Two AI computing clusters built from identical NVIDIA H100, GB200 NVL72, or GB300 NVL72 systems can deliver materially different training throughput.
NVIDIA draws on its Exemplar Cloud validation programme to explain where that difference comes from, covering firmware and driver consistency, network fabric configuration, thermal behaviour, and storage path design.
The post sets out the checks that separate a cluster hitting its specification from one that does not. It is written for operators of large GPU estates. The programme exists to validate that cloud providers meet the standard before customers deploy.