BurstDock
GPU COMPARISON / AI COMPUTE

NVIDIA H100 vs NVIDIA H200.
Choose for the workload.

H100 and H200 share the Hopper generation, but H200 offers a substantially larger memory class. That can matter for larger models, longer contexts and memory-bound inference.

Compare live availability GPU pricing

80 GB

NVIDIA H100 GPU memory class.

141 GB

NVIDIA H200 GPU memory class.

Workload first

Model size, precision, context and concurrency determine the better fit.

01 / COMPARISONArchitecture and memory are only the start.
GPUNVIDIA H100NVIDIA H200
VRAM class80 GB141 GB
ArchitectureHopperHopper

How to
choose.

Start with the model and memory requirement, then evaluate throughput, latency, GPU count and total workload cost. A newer accelerator is not automatically the most cost-efficient choice for every job.

  • Can the model and KV cache fit in available VRAM?
  • What latency and throughput does the application need?
  • Does the workload scale efficiently across multiple GPUs?
  • What is the measured cost per useful unit of work?