# Container Instances

## Azure Container Instances — commitment brief

> **Data sourced**: March 2026. Verify current figures at the [Azure Pricing Calculator](https://azure.microsoft.com/en-us/pricing/calculator/).

### Coverage summary

Azure Container Instances (ACI) does not support Azure Reservations — it is a serverless, per-second billed service with no SKU-level reservation products. However, ACI is explicitly covered by the Azure Compute Savings Plan, which applies to vCPU and memory compute costs globally. Savings plans offer up to \~52% off pay-as-you-go rates at the 3-year term. GPU-backed ACI instances and the Windows software charge on Windows containers are excluded from savings plan coverage.

**What is covered**: vCPU and memory infrastructure compute costs for standard Linux and confidential containers, automatically applied across all regions where ACI is deployed.

**What is not covered**: Windows software license charge (per-second OS meter; not discounted by savings plans or AHB), GPU container costs (pay-as-you-go only), ACI Spot container usage (separate pricing model), networking/egress, attached storage.

### Azure Hybrid Benefit

> Not applicable. ACI is a managed serverless abstraction — customers do not manage the underlying host OS, and there is no mechanism to bring Windows Server licenses. The Windows OS meter on Windows containers is a separate charge not covered by AHB or savings plans.

### SKU / tier coverage

| SKU / Tier                       | Reservation | Savings Plan | 1-yr discount | 3-yr discount | Notes                                                              |
| -------------------------------- | ----------- | ------------ | ------------- | ------------- | ------------------------------------------------------------------ |
| Standard Linux — vCPU            | ❌ No        | ✅ Yes        | \~27%         | \~52%         | Savings plan applies globally across all ACI regions               |
| Standard Linux — Memory          | ❌ No        | ✅ Yes        | \~27%         | \~52%         | Per GB/hr compute cost                                             |
| Confidential Containers — vCPU   | ❌ No        | ✅ Yes        | \~27%         | \~52%         | Same discount structure as standard Linux                          |
| Confidential Containers — Memory | ❌ No        | ✅ Yes        | \~27%         | \~52%         |                                                                    |
| Windows Containers — Compute     | ❌ No        | ✅ Yes        | \~27%         | \~52%         | Compute cost covered; Windows software meter is NOT                |
| Windows Containers — OS License  | ❌ No        | ❌ No         | —             | —             | Per-second Windows software charge; not discounted                 |
| GPU Containers (K80, P100, V100) | ❌ No        | ❌ No         | —             | —             | Pay-as-you-go only; no commitment instruments available            |
| ACI Spot Containers              | ❌ No        | ❌ No         | —             | —             | Separate spot pricing model; mutually exclusive with savings plans |

### Savings Plan context

**Azure Compute Savings Plan** is the only commitment instrument available for ACI. It is an hourly spend commitment (1-yr or 3-yr) that applies automatically across ACI, Virtual Machines, App Service (Pv3/Iv2), Dedicated Host, Container Instances, and Azure Functions Premium. Best suited for organizations with consistent containerized workloads across multiple services or regions where reservation flexibility is more valuable than maximum discount depth.

## Regional availability

The Azure Compute Savings Plan — the only commitment instrument for ACI — applies globally across all commercial Azure regions where eligible compute services run. Savings plan benefits are not region-locked; they apply automatically wherever ACI and other eligible compute spend occurs within your billing scope. ACI itself is available in most commercial regions, though GPU container support and confidential container support have more limited regional availability.

**Notable exclusions**: Azure Government and Azure China regions are not supported by the Azure Compute Savings Plan. GPU containers (K80, P100, V100) are only available in a small subset of regions and have no commitment instrument regardless of region.

⚠️ Availability varies by SKU and region. Always verify in the [Azure portal](https://portal.azure.com) or via the [Azure Retail Pricing API](https://prices.azure.com/api/retail/prices) before purchasing.

### Archera

Azure Container Instances is within Archera's commitment management scope via the Compute Savings Plan. Archera can model optimal savings plan spend commitments across your full Azure compute footprint — including ACI — and wrap commitments in a GRI/GSP to eliminate downside risk.

***

**Sources**

* [What are Azure savings plans for compute?](https://learn.microsoft.com/en-us/azure/cost-management-billing/savings-plan/savings-plan-overview)
* [Azure Container Instances overview](https://learn.microsoft.com/en-us/azure/container-instances/container-instances-overview)
* [Azure Container Instances pricing](https://azure.microsoft.com/en-us/pricing/details/container-instances/)
* [What are Azure Reservations?](https://learn.microsoft.com/en-us/azure/cost-management-billing/reservations/save-compute-costs-reservations)

⚠️ Savings plan discount percentages are approximate and region-dependent (East US rates shown). Always verify with the [Azure Pricing Calculator](https://azure.microsoft.com/en-us/pricing/calculator/).


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.archera.ai/help-center/cloud-service-intelligence/cloud-service-intelligence/azure/compute/container-instances.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
