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AWS GPU prices

Track AWS GPU prices for H100 SXM, H200, A100 SXM4, and L40, compare current median rates, and see how this provider moves versus the broader cloud market.

Plan with AWS Browse GPU prices Open AWS
Lowest Median
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GPUs Available
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models tracked
Median Range
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across recent GPUs
Last Updated
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Search guide

AWS cloud GPU pricing overview

AWS currently appears in our dataset with pricing for 8 tracked GPU models, including H100 SXM, H200, A100 SXM4, and L40.

Use this page when you want a provider-first view: start with the current table to compare median rates today, then use the history chart to understand how the provider's market has moved over time.

Cheapest provider right now

Lowest tracked AWS GPU median right now

The lowest tracked AWS GPU median right now is T4 at $0.98/hr (on-demand).

Methodology and freshness

How provider pricing is normalized

We normalize each tracked listing into per-GPU hourly pricing, keep the latest snapshot per pricing type, and let you compare the same provider across many GPU models without manually reconciling marketplace formats.

FAQ

AWS GPU pricing FAQ

Does AWS offer H100, A100, or H200 GPUs?

AWS currently has tracked pricing for H100 SXM, H200, A100 SXM4, and L40.

What is the lowest tracked GPU median on AWS right now?

The lowest tracked AWS GPU median right now is T4 at $0.98/hr (on-demand).

How fresh are the AWS GPU prices on this page?

This page shows the latest stored snapshot for each AWS GPU and pricing type. The freshest row currently visible is from Jul 31, 2026, and collectors run on a daily cadence.

How should I compare AWS with other GPU providers?

Start with the current GPU table to compare median prices on this provider, then use the provider comparison links below to compare shared GPUs against hyperscalers and specialist GPU clouds.

Popular follow-up searches

Popular AWS GPU price searches

These follow-up pages prioritize the GPU and provider combinations most likely to matter for buyers researching rental cost, availability, and alternatives.

AWS H100 SXM price Compare AWS's current H100 SXM rate against the rest of the tracked market. AWS H200 price Compare AWS's current H200 rate against the rest of the tracked market. AWS A100 SXM4 price Compare AWS's current A100 SXM4 rate against the rest of the tracked market. AWS L40 price Compare AWS's current L40 rate against the rest of the tracked market. Best GPU for Qwen3.6 35B-A3B hosting Compare the live cost of a current 48GB coding, vision, and agentic model on tracked providers. Best cloud GPU for fine-tuning Balance 80GB+ memory headroom against hourly spend for adapter and full fine-tunes.
Coverage notes

How AWS pricing is tracked

AWS is useful as an enterprise-cloud baseline for P/G-family accelerator pricing and procurement comparisons.

Source
AWS public EC2 pricing data No key required
Pricing models
on-demand tracked where available
Best for
Enterprise workloads that need AWS networking, procurement, IAM, and adjacent services. buyer fit
Region support: Region-specific rows are collected from the public price file and can be queried with `?region=`.
Limitations: Public list pricing does not reflect private discounts, capacity reservations, or Savings Plan commitments.
Workload views

AWS prices by workload

Jump from the full provider catalog into workload-specific slices for model serving, batch queues, fine-tuning, and training.

AWS vLLM hosting prices OpenAI-compatible vLLM serving usually starts at 24GB GPUs and moves into 80GB+ rows for larger models, batching, and long prompts. AWS batch inference prices Batch inference can use cheaper and less stable pricing modes when queues are flexible and retries are acceptable. AWS fine-tuning prices Fine-tuning usually starts in 80GB-class inventory once optimizer state, activations, checkpointing, and sequence length are considered. AWS training prices Training budgets are dominated by 80GB+ accelerators, provider stability, and whether newer H100/H200/B200/MI300X rows justify their premium over A100.

Current AWS GPU prices

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GPU VRAM Type Min Median Max Offers Last Updated
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Compare AWS against other providers

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Agent-assisted setup

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.

Claude Code quickstart ↗ Codex docs ↗
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/provider/aws. 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