Deploy SqueezeNet 1.0 INT8 model with ONNX Runtime on Azure Cobalt 100
Introduction
Overview
Create an Arm-based Azure Cobalt 100 virtual machine
ONNX Installation
Baseline Testing
Benchmark ONNX runtime performance with onnxruntime_perf_test
Next Steps

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About this Learning Path

Skill level:  Introductory
Reading time:  1 hr
Last updated:  16 Oct 2025
Skill level:
  Introductory
Reading time:
  1 hr
Last updated:
  16 Oct 2025
Author:Pareena Verma, Arm
Arm IP:Neoverse
Tags: ML Microsoft Azure Linux Python ONNX Runtime
Author:
  • Pareena Verma, Arm
Arm IP:
Neoverse
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 account with access to Cobalt 100 based instances (Dpsv6)
  • Basic understanding of Python and machine learning concepts
  • Familiarity with ONNX Runtime and Azure cloud services
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