BurstDock
GPU COMPARISON / AI COMPUTE

NVIDIA A100 vs NVIDIA H100.
Choose for the workload.

A100 remains relevant for established CUDA and AI workloads, while H100 is a newer Hopper-generation accelerator. Compare actual workload requirements rather than generation alone.

Compare live availability GPU pricing

40–80 GB

NVIDIA A100 GPU memory class.

80 GB

NVIDIA H100 GPU memory class.

Workload first

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

01 / COMPARISONArchitecture and memory are only the start.
GPUNVIDIA A100NVIDIA H100
VRAM class40–80 GB80 GB
ArchitectureAmpereHopper

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?