# Deploy SqueezeNet 1.0 INT8 model with ONNX Runtime on Azure Cobalt 100

## In this learning path

- [Introduction](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx-on-azure/)
- [Overview](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx-on-azure/background/)
- [Create an Arm-based Azure Cobalt 100 virtual machine](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx-on-azure/create-instance/)
- [ONNX Installation](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx-on-azure/deploy/)
- [Baseline Testing](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx-on-azure/baseline/)
- [Benchmark ONNX runtime performance with onnxruntime_perf_test](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx-on-azure/benchmarking/)
- [Next Steps](https://learn.arm.com/learning-paths/servers-and-cloud-computing/onnx-on-azure/_next-steps/)

## About this Learning Path

| Skill level:            | Introductory            |
|-------------------------|-------------------------|
| Reading time:           | 1 hr                    |
| Last updated:           | 31 Jul 2026             |

| Author:                | Pareena Verma, Arm [GitHub](https://github.com/pareenaverma) [LinkedIn](https://linkedin.com/in/pareena-verma-7853607) |
|-------------------------|-------------------------|
| 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 Learning Path is for developers deploying ONNX-based applications on Arm-based machines.

### What will you learn?
Upon completion of this Learning Path, you will be able to:
- Provision an Azure Arm64 virtual machine using Azure console, with Ubuntu Pro 24.04 LTS as the base image
- Perform ONNX baseline testing and benchmarking on Arm64 virtual machines

### Prerequisites
Before starting, you will need the following:
- A [Microsoft Azure](https://azure.microsoft.com/) account with access to Cobalt 100 based instances (Dpsv6)
- Basic understanding of Python and machine learning concepts
- Familiarity with [ONNX Runtime](https://onnxruntime.ai/docs/) and Azure cloud services
