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Azure GPU prices

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

Plan with Azure Browse GPU prices Open Azure
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

Azure cloud GPU pricing overview

Azure currently appears in our dataset with pricing for 6 tracked GPU models, including H100 SXM, H200, A100 SXM4, and H100 NVL.

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 Azure GPU median right now

The lowest tracked Azure GPU median right now is T4 at $0.36/hr (spot).

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

Azure GPU pricing FAQ

Does Azure offer H100, A100, or H200 GPUs?

Azure currently has tracked pricing for H100 SXM, H200, A100 SXM4, and H100 NVL.

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

The lowest tracked Azure GPU median right now is T4 at $0.36/hr (spot).

How fresh are the Azure GPU prices on this page?

This page shows the latest stored snapshot for each Azure 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 Azure 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 Azure 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.

Azure H100 SXM price Compare Azure's current H100 SXM rate against the rest of the tracked market. Azure H200 price Compare Azure's current H200 rate against the rest of the tracked market. Azure A100 SXM4 price Compare Azure's current A100 SXM4 rate against the rest of the tracked market. Azure H100 NVL price Compare Azure's current H100 NVL rate against the rest of the tracked market. Best cloud GPU for fine-tuning Balance 80GB+ memory headroom against hourly spend for adapter and full fine-tunes. H100 vs A100 for training cost Compare H100-family and A100-family rental costs before choosing a training budget.
Coverage notes

How Azure pricing is tracked

Azure coverage is strongest for public retail VM SKUs that map cleanly to canonical GPU names.

Source
Azure Retail Prices API No key required
Pricing models
on-demand, spot tracked where available
Best for
Microsoft-stack organizations comparing Azure-native GPU options against specialist providers. buyer fit
Region support: Region metadata is preserved where Azure exposes it.
Limitations: Reserved VM pricing is not collected; SKU naming is broad, so unmapped or preview SKUs may lag until aliases are verified.
Workload views

Azure prices by workload

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

Azure vLLM hosting prices OpenAI-compatible vLLM serving usually starts at 24GB GPUs and moves into 80GB+ rows for larger models, batching, and long prompts. Azure batch inference prices Batch inference can use cheaper and less stable pricing modes when queues are flexible and retries are acceptable. Azure fine-tuning prices Fine-tuning usually starts in 80GB-class inventory once optimizer state, activations, checkpointing, and sequence length are considered. Azure 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 Azure GPU prices

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GPU VRAM Type Min Median Max Offers Last Updated
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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/azure. 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