# Deploy Phi-4-mini model with ONNX Runtime on Azure Cobalt 100

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx/)
- [Demo](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx/_demo/)
- [Build ONNX Runtime and set up the Phi-4-mini Model](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx/setup/)
- [Run the Chatbot Server](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx/chatbot/)
- [Interact with the Phi-4-mini Chatbot](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx/analysis/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx/_next-steps/)

## About this Learning Path

| Skill level:  |  Advanced                  |
|---------------|---------------------------|
| Reading time: |  30 min                   |
| Last updated: |  31 Jul 2026              |

| Author:                  | Nobel Chowdary Mandepudi, Arm                        |
|--------------------------|------------------------------------------------------|
| Arm IP:                  | [Neoverse](https://support.arm.com/?tab=compute-ip&Product%20Type=Infrastructure%20Processors) |
| Tags:                    | ML, Microsoft Azure, Linux, Python, ONNX Runtime     |

### Who is this for?
This is an advanced topic for developers, ML engineers, and cloud practitioners looking to deploy Microsoft's Phi Models on Arm-based servers using ONNX Runtime.

### What will you learn?
Upon completion of this Learning Path, you will be able to:
- Quantize and run the Phi-4-mini model with ONNX Runtime on Azure.
- Analyze performance on Arm Neoverse N2 based Azure Cobalt 100 VMs.

### Prerequisites
Before starting, you will need the following:
- An [Arm-based instance](https://learn.arm.com/learning-paths/servers-and-cloud-computing/csp/) from an appropriate cloud service provider. This Learning Path has been tested on an Azure Cobalt 100 virtual machine.
- Basic understanding of Python and machine learning concepts.
- Familiarity with ONNX Runtime and Azure cloud services.
- Knowledge of Large Language Model (LLM) fundamentals.