Get started with the Raspberry Pi 4
Introduction
Introduction to the Raspberry Pi 4
Setup a Raspberry Pi 4 and an Arm cloud instance
Identifying the hardware
Linux Kernel Compile
TensorFlow
Docker
Linux Perf
Next Steps

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About this Learning Path

Skill level:  Introductory
Reading time:  1 hr 30 min
Last updated:  14 Aug 2026
Skill level:
  Introductory
Reading time:
  1 hr 30 min
Last updated:
  14 Aug 2026
Author:Jason Andrews, Arm
Arm IP:Cortex-A Neoverse
Tags: Embedded Linux Linux Raspberry Pi TensorFlow Docker
Author:
  • Jason Andrews, Arm
Arm IP:
Cortex-A Neoverse
Tags:
Embedded Linux Linux Raspberry Pi TensorFlow Docker

Who is this for?

This is an introductory topic for software developers interested in the Raspberry Pi 4.

What will you learn?

Upon completion of this Learning Path, you will be able to:

  • Build and run multiple software examples on the Raspberry Pi 4
  • Compare and contrast the Raspberry Pi 4 to an Arm cloud server

Prerequisites

Before starting, you will need the following:

Summary

AI-assisted

This summary was drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.

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You’ll compare a Raspberry Pi 4 and an Arm-based cloud instance by running the same workloads on both systems. First, you’ll install 64-bit Raspberry Pi OS and verify each system with uname. Then, you’ll build a Linux kernel, install TensorFlow, and run a quickstart example. You’ll use matching commands to compare platform behavior and build times.

Frequently asked questions

AI-assisted

These FAQs were drafted with an approved AI-assisted workflow and reviewed by Arm contributors before publication. Human technical review remains part of the process so the final page reflects engineering rigor, accuracy, and Arm editorial standards.

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How do I know both systems are configured for 64-bit Arm before comparing results?
Run uname -a on each machine and confirm the architecture shows aarch64. The exact kernel version string might differ, but the architecture should match on both.
Which Raspberry Pi OS image should I write to the SD card?
Use the 64-bit version of Raspberry Pi OS.
Where should I run the TensorFlow example, and which example should I use?
Run it on both the Raspberry Pi 4 and the Arm-based cloud server to compare behavior. Use the TensorFlow quickstart example or the quickstart code provided in the Learning Path.
What outcome should I expect from the Linux kernel compile comparison?
Every recent cloud server is faster than a Raspberry Pi 4. Record the elapsed build time on both systems to understand the relative difference.
How do I choose a cloud instance for this comparison?
Use an Arm-based instance from a cloud service provider. For instructions to select and provision an instance, follow the Get started with Arm-based cloud instances Learning Path.
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