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H100 PCIE vs A100 PCIE price comparison

Compare H100 PCIE vs A100 PCIE price, VRAM, and provider coverage so you can see which GPU is cheaper to rent today and how the spread has moved over time.

H100 PCIE vs A100 PCIE: how to compare cost in context

If you are choosing between H100 PCIE and A100 PCIE, hourly price is only part of the trade-off. This page lines up specs, shared providers, and current market pricing so you can compare both cost and coverage.

Use the specs table to understand the memory difference, the historical chart to see how each market has moved, and the provider table to check whether one GPU consistently carries a premium on the same cloud.

Cheapest provider right now

H100 PCIE vs A100 PCIE: cheapest market entry

A100 PCIE currently has the lower on-demand entry price, starting at $1.39/hr on RunPod, while H100 PCIE starts at $2.89/hr on RunPod. Across 1 providers with fresh on-demand prices for both GPUs, H100 PCIE is cheaper on 0 providers and A100 PCIE is cheaper on 1 providers.

Methodology and freshness

How the side-by-side comparison works

We compare fresh on-demand per-GPU hourly prices for both models and keep provider histories separate so you can see whether a gap is structural or just a short-lived market move. Stale, spot, and community rows do not drive the current-price decision copy.

H100 PCIE vs A100 PCIE pricing FAQ

Which is cheaper right now: H100 PCIE or A100 PCIE?

A100 PCIE currently has the lower on-demand entry price, starting at $1.39/hr on RunPod, while H100 PCIE starts at $2.89/hr on RunPod. Across 1 providers with fresh on-demand prices for both GPUs, H100 PCIE is cheaper on 0 providers and A100 PCIE is cheaper on 1 providers.

How much VRAM do H100 PCIE and A100 PCIE have?

H100 PCIE is tracked with 80GB of HBM3, while A100 PCIE is tracked with 80GB of HBM2e.

Which providers currently carry both H100 PCIE and A100 PCIE?

We currently see fresh shared on-demand coverage on RunPod.

How fresh is the H100 PCIE vs A100 PCIE pricing data?

The decision copy uses fresh on-demand rows from the latest stored snapshot for each GPU and provider. The newest qualifying row is from Jul 31, 2026, and collectors run daily.

Spec H100 PCIE A100 PCIE
VRAM 80 GB 80 GB
Memory Type HBM3 HBM2e
Generation Hopper Ampere
Tier High Performance Mid-Range
Best fresh on-demand price
Providers

Historical H100 PCIE vs A100 PCIE price trend

Fresh on-demand price by provider: H100 PCIE vs A100 PCIE

Provider H100 PCIE A100 PCIE Difference
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More GPU comparisons

Hand this runbook to Claude Code or Codex

Open a terminal in the repository where you want the deployment files, start claude or codex, then paste this prompt. It asks the agent to verify sources and stop before it creates billable infrastructure.

Deployment prompt
Use the infrastructure or model context on this page to create a reproducible open-model deployment. Use this guide as the starting context: https://www.getflops.ai/compare/H100-PCIE-vs-A100-PCIE. Read the linked model card and provider documentation before choosing hardware or runtime settings. Open every linked primary source and flag any mismatch instead of guessing. Create a deployment folder containing README.md, .env.example with no secrets, a pinned start script or infrastructure manifest, and smoke-test.sh. Make the endpoint OpenAI-compatible where the runtime supports it. Run local/static validation, estimate the billable resources, and stop before provisioning paid infrastructure until I approve.
Guardrails included No secrets in files · verify primary docs · approval before spend