NVIDIA H100
NVIDIA's workhorse GPU dominating AI infrastructure
Industry standard for AI training and inference
Metrics
Score Breakdown
Compatibility
Scoring Methodology
Raw compute throughput and memory bandwidth
Source: TFLOPS specs, MLPerf benchmarks
Market supply and cloud instance availability
Source: SemiAnalysis ClusterMAX, cloud pricing pages
Software stack maturity and framework support
Source: Framework compatibility matrices, developer surveys
Related Signals
B200 Blackwell GPUs Enter Production
NVIDIA's B200 Blackwell GPUs are shipping to hyperscalers, promising 2.5x performance gains over H100 for AI training workloads.
vLLM Adoption Accelerates Across Inference Platforms
vLLM has become the de facto standard for LLM inference, with major cloud providers and inference platforms adopting it for production deployments.
AMD MI300X Gains Enterprise Traction
AMD's MI300X is seeing increased adoption as enterprises seek alternatives to NVIDIA's supply-constrained GPUs, with 192GB memory enabling larger model deployments.
H200 Compatibility Advisory: Framework Updates Required
NVIDIA H200's 141GB HBM3e memory requires updated CUDA drivers and framework versions. Teams should verify compatibility before migration from H100.