GLOBALATLAS AI · H100 vs A100

H100 vs A100

Compare H100 and A100 memory, architecture and deployment considerations using manufacturer specifications.

Hardware specifications and configuration pricing
ParameterH100A100
GPU memory80 GB80 GB
Memory technologyHBM3HBM2e
ArchitectureHopperAmpere
Workload profileAI training, inference and accelerated computingEstablished CUDA workloads and model training
Reference variantThe reference is H100 SXM 80 GB. H100 NVL uses a different memory configuration; an offer must identify the exact variant.The reference is A100 80 GB. A100 also exists with 40 GB, so the model name alone is not enough to select capacity.
Price
Price on requestConfiguration and region to be confirmed
Price on requestConfiguration and region to be confirmed

Which configuration fits your workload?

H100

The reference is H100 SXM 80 GB. H100 NVL uses a different memory configuration; an offer must identify the exact variant.

Explore H100 →

A100

This page uses the 80 GB reference. Compare total server cost and tested runtime behavior with H100 before moving an existing workload.

Explore A100 →

Compare the same workload

Use the same model or scene, precision, batch size and software version. Record throughput, latency, peak memory and total server cost. This table contains hardware specifications, not measured application performance.