NVIDIA AI Clusters Are Failing Performance Benchmarks Due to Hidden Configuration Gaps Across Multiple System Layers
NVIDIA H100 and GB200 AI clusters are silently failing performance benchmarks due to hidden configuration gaps across kernel, hypervisor, BIOS, and NCCL layers, with real-world case studies revealing throughput losses of up to 53% that are causing deployments to miss NVIDIA's critical 95% Exemplar Cloud validation threshold.