Deploy TensorFlow on Google Cloud C4A (Arm-based Axion VMs)
Introduction
Get started with TensorFlow on Google Axion C4A
Create a Google Axion C4A Arm virtual machine on GCP
Install TensorFlow
Test TensorFlow baseline performance on Google Axion C4A
Benchmark TensorFlow model performance using tf.keras
Next Steps

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Provision a Google Axion C4A Arm VM

In this section, you’ll provision a Google Axion C4A Arm virtual machine (VM) on Google Cloud Platform (GCP) using the c4a-standard-4 (4 vCPUs, 16 GB memory) machine type.

Note

For help with GCP setup, see the Learning Path Getting started with Google Cloud Platform .

Create your VM

  • Go to the Google Cloud Console .

  • Select Compute Engine > VM Instances and click Create Instance.

  • Under Machine configuration:

    • Fill in Instance name, Region, and Zone.
    • Set Series to C4A.
    • Choose c4a-standard-4 for machine type.

    Image Alt Text:Screenshot of the Google Cloud Console showing the creation of a new VM instance. The c4a-standard-4 machine type is selected under Machine configuration. The interface displays fields for instance name, region, zone, and machine type selection. alt-text Creating a Google Axion C4A Arm virtual machine in Google Cloud Console

  • Under OS and Storage, click Change and select an Arm64-based OS image. For this Learning Path, choose SUSE Linux Enterprise Server (SLES).

    • Select “Pay As You Go” for the license type.
    • Click Select to confirm your OS choice.

  • Under Networking, enable Allow HTTP traffic.

  • Click Create to launch your VM instance.

  • Once created, find your VM in the list and click SSH to open an SSH session in your browser.

Image Alt Text:Screenshot showing the SSH option next to a running VM instance in the Google Cloud Console. The SSH button is highlighted, indicating how to launch a secure shell session into the VM. alt-text Invoke an SSH session into your running VM instance

  • A new browser window opens with a terminal shell connected to your VM.

Image Alt Text:Screenshot of a terminal shell in the browser, connected to the running VM instance. The shell displays a command prompt, ready for user input. alt-text Terminal shell in your VM instance

You have successfully provisioned an Arm-based VM on Google Cloud. Next, you’ll install TensorFlow on your new instance!

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