Deploy Apache Spark on Google Axion processors
Introduction
Getting started with Apache Spark on Google Axion C4A (Arm Neoverse-V2)
How to create a Google Axion C4A Arm virtual machine on GCP
How to deploy Apache Spark on Google Axion C4A Arm virtual machines
Apache Spark baseline testing on Google Axion C4A Arm VM
Apache Spark performance benchmarks on Arm64 and x86_64 in Google Cloud
Next Steps

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About this Learning Path

Skill level:  Advanced
Reading time:  1 hr
Last updated:  31 Jul 2026
Skill level:
  Advanced
Reading time:
  1 hr
Last updated:
  31 Jul 2026
Author:Pareena Verma, Arm
Arm IP:Neoverse
Tags: Performance and Architecture Google Cloud Linux Apache Spark Python
Author:
  • Pareena Verma, Arm
Arm IP:
Neoverse
Tags:
Performance and Architecture Google Cloud Linux Apache Spark Python

Who is this for?

This introductory topic is for software developers interested in migrating their Apache Spark workloads from x86_64 platforms to Arm-based platforms, specifically on Google Axion–based C4A virtual machines.

What will you learn?

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

  • Start an Arm virtual machine on Google Cloud Platform (GCP) using the C4A Google Axion instance family with RHEL 9 as the base image
  • Install and configure Apache Spark on Arm-based GCP C4A instances
  • Validate Spark functionality through baseline testing
  • Benchmark Apache Spark performance on Arm

Prerequisites

Before starting, you will need the following:

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