Learn about Titanium, a system of purpose-built chips with multiple tiers of data center wide scale-out offloads.

Google Axion Processors

Arm-based CPUs custom-built for cloud servers

Get the best price-performance and energy efficiency for general purpose workloads on Google Cloud, plus industry-leading performance per vCPU.

Descripción general

Why Axion?

Axion is a family of custom Arm64-based processors for general purpose computing that deliver up to 10% better performance-per-vCPU than the latest Arm-based instances available in the Cloud. They are the latest in a long line of custom Google silicon, from Tensor Processing Units for AI, to Video Coding Units for Youtube and Tensor chips for Pixel devices. Each of these significantly improved performance and efficiency for resource-intensive applications used by businesses and consumers everywhere. 

Cost efficient

Get up to 65% better price-performance than other CPUs available on Google Cloud for a range of general purpose workloads like Java and NoSQL.

Energy efficient

Google Cloud data centers are 1.5X more efficient than the industry-average. Axion reduces consumption even more, using up to 60% less energy than other CPUs on Google Cloud. 

Choice and flexibility

Google has a long history of leadership in open source. Before we built Axion, we co-created open software and firmware standards that ensure Arm-based applications will run smoothly on any participating cloud, often with zero code changes needed, giving you the flexibility to build and run apps anywhere with a broad partner and open source software support.


Google Cloud customers can use Axion in Google Compute Engine, Google Kubernetes Engine, Dataproc, Cloud Batch, with more coming soon.


Built on Titanium

Underpinning every Axion instance is Titanium, a system of purpose-built microcontrollers and tiered scale-out offloads to improve your infrastructure performance, life cycle management, and security.

Instances powered by Axion

Google Axion ProcessorWorkloadsShapes

C4A

  • Web and app servers (high traffic)
  • Ad servers
  • Game servers
  • Data analytics
  • Databases (any size)
  • In-memory caches
  • Media streaming and transcoding
  • CPU-based AI/ML
  • Network appliances

Up to 72 vCPUs, 576 gb RAM, and 100 gbps networking.


Configurations:

  • Standard: 1:4 vCPU to memory
  • High memory: 1:8 vCPU to memory
  • High CPU: 1:2 vCPU to memory

C4A

Workloads
  • Web and app servers (high traffic)
  • Ad servers
  • Game servers
  • Data analytics
  • Databases (any size)
  • In-memory caches
  • Media streaming and transcoding
  • CPU-based AI/ML
  • Network appliances
Shapes

Up to 72 vCPUs, 576 gb RAM, and 100 gbps networking.


Configurations:

  • Standard: 1:4 vCPU to memory
  • High memory: 1:8 vCPU to memory
  • High CPU: 1:2 vCPU to memory

Cómo funciona

Learn about seven possible migration paths from x86 or other Arm-based CPUs to Axion, from Google managed services to containerized workloads, Linux-interpreted languages (Java, Python, PHP, Ruby), and more.

7 ways to migrate to Arm-based CPUs on Google Cloud
-

Usos comunes

Create your first VM

Three ways to get started

  1. Complete a tutorial. Learn how to deploy a Linux VM, Windows Server VM, load balanced VM, Java app, custom website, LAMP stack, and much more.
  2. Deploy a pre-configured sample application—Jump Start Solution—in just a few clicks.
  3. Create a VM from scratch using the Google Cloud console, CLI, API, or Client Libraries. Use our documentation for step-by-step guidance.
Documentation: Creating an Arm VM instance
Create your first VM

    Experiencing issues? Troubleshooting Arm workloads

    Three ways to get started

    1. Complete a tutorial. Learn how to deploy a Linux VM, Windows Server VM, load balanced VM, Java app, custom website, LAMP stack, and much more.
    2. Deploy a pre-configured sample application—Jump Start Solution—in just a few clicks.
    3. Create a VM from scratch using the Google Cloud console, CLI, API, or Client Libraries. Use our documentation for step-by-step guidance.
    Documentation: Creating an Arm VM instance
    Create your first VM

      Experiencing issues? Troubleshooting Arm workloads

      Deploy a Java application

      Tutorial

      Want to learn how to run Java-based applications on Axion? Most applications will run with no changes needed, but there are best practices and optimizations that can help improve your performance. 

      Take this Arm ‘Learning Path’ to:

      • Understand Arm performance for different JDK versions
      • Test common performance optimization flags
      Start tutorial

        Tutorial

        Want to learn how to run Java-based applications on Axion? Most applications will run with no changes needed, but there are best practices and optimizations that can help improve your performance. 

        Take this Arm ‘Learning Path’ to:

        • Understand Arm performance for different JDK versions
        • Test common performance optimization flags
        Start tutorial

          Build a multi-arch CI/CD pipeline

          Tutorial

          Creating a multi-architecture pipeline helps you build applications across multiple platforms with more flexibility, speed, and efficiency. 

          Take this Arm ‘Learning Path’ to:

          • Create an Axion-based GitLab self-hosted runner
          • Build a CI/CD pipeline with multi-architecture support
          • Learn best practices for building multi-architecture docker images using native GitLab runners
          • Build and test a multi-arch application with example code
          Start tutorial

            Tutorial

            Creating a multi-architecture pipeline helps you build applications across multiple platforms with more flexibility, speed, and efficiency. 

            Take this Arm ‘Learning Path’ to:

            • Create an Axion-based GitLab self-hosted runner
            • Build a CI/CD pipeline with multi-architecture support
            • Learn best practices for building multi-architecture docker images using native GitLab runners
            • Build and test a multi-arch application with example code
            Start tutorial

              Build a multi-arch application on GKE

              Tutorial

              To build a multi-arch application or migrate your existing containerized applications running on Google Kubernetes Engine (‘GKE’) to Axion, start by reading our documentation.

              Need step-by-step instructions? Take this Arm ‘Learning Path’ to:

              • Learn how to add Axion nodes to an existing x86-based GKE cluster, or rebuild x86-based applications to run on Axion
              • Learn how to add taints and tolerations to GKE clusters to schedule application pods on architecture-specific nodes
              Start tutorial

                Tutorial

                To build a multi-arch application or migrate your existing containerized applications running on Google Kubernetes Engine (‘GKE’) to Axion, start by reading our documentation.

                Need step-by-step instructions? Take this Arm ‘Learning Path’ to:

                • Learn how to add Axion nodes to an existing x86-based GKE cluster, or rebuild x86-based applications to run on Axion
                • Learn how to add taints and tolerations to GKE clusters to schedule application pods on architecture-specific nodes
                Start tutorial

                  More GKE documentation and guides

                  1. Learn the basics of running Arm workloads on GKE, or how to create clusters and node pools with Arm nodes.
                  2. By default, GKE schedules workloads to x86-based nodes. Learn how to deploy your workload to an Arm node.
                  3. Learn how to configure your GKE Autopilot deployments to request nodes that are backed by Arm architecture.
                  GitHub: Arm on GKE

                    Precios

                    How Axion pricing worksAxion pricing varies based on your requirements for performance, storage, networking, location, and more.
                    ServicesDescription Price (USD)

                    Get started free

                    New users get $300 in free trial credits to use within 90 days.



                    Free

                    C4A

                    Pay-as-you-go

                    Only pay for the services you use. No up-front fees. No termination charges. Pricing varies by configuration and usage.


                    See detailed pricing in our documentation.

                    Starting at

                    $0.03787

                    (c4a-highcpu)

                    Discount: Committed use

                    Pay less when you commit to a minimum spend in advance.

                    Save up to 55%

                    Discount: Spot VMs

                    Pay less when you run fault-tolerant jobs using excess Compute Engine capacity.

                    Save up to 91%

                    Storage

                    Persistent Disk

                    Durable network storage devices that your virtual machine (VM) instances can access. The data on each Persistent Disk volume is distributed across several physical disks.


                    Starting at

                    $0.048

                    Per GB per month

                    Hyperdisk

                    The fastest persistent disk storage for Compute Engine, with configurable performance and volumes that can be dynamically resized.

                    Starting at

                    $0.125

                    Per GB per month

                    Local SSD

                    Physically attached to the server that hosts your VM.

                    Starting at

                    $0.08

                    Per GB per month

                    Networking

                    Standard tier

                    Leverage the public internet to carry traffic between your services and your users.


                    Free

                    Inbound transfers, always. Outbound transfers, up to 200 GB per month.

                    Premium tier

                    Leverage Google's premium backbone to carry traffic to and from your external users.

                    Starting at

                    $0.08

                    Per GB per month for outbound data transfers. Inbound transfers remain free.

                    To estimate costs based on your requirements, use our pricing calculator or request a quote.

                    How Axion pricing works

                    Axion pricing varies based on your requirements for performance, storage, networking, location, and more.

                    Get started free

                    Description

                    New users get $300 in free trial credits to use within 90 days.



                    Price (USD)

                    Free

                    C4A

                    Description

                    Pay-as-you-go

                    Only pay for the services you use. No up-front fees. No termination charges. Pricing varies by configuration and usage.


                    See detailed pricing in our documentation.

                    Price (USD)

                    Starting at

                    $0.03787

                    (c4a-highcpu)

                    Discount: Committed use

                    Pay less when you commit to a minimum spend in advance.

                    Description

                    Save up to 55%

                    Discount: Spot VMs

                    Pay less when you run fault-tolerant jobs using excess Compute Engine capacity.

                    Description

                    Save up to 91%

                    Storage

                    Description

                    Persistent Disk

                    Durable network storage devices that your virtual machine (VM) instances can access. The data on each Persistent Disk volume is distributed across several physical disks.


                    Price (USD)

                    Starting at

                    $0.048

                    Per GB per month

                    Hyperdisk

                    The fastest persistent disk storage for Compute Engine, with configurable performance and volumes that can be dynamically resized.

                    Description

                    Starting at

                    $0.125

                    Per GB per month

                    Local SSD

                    Physically attached to the server that hosts your VM.

                    Description

                    Starting at

                    $0.08

                    Per GB per month

                    Networking

                    Description

                    Standard tier

                    Leverage the public internet to carry traffic between your services and your users.


                    Price (USD)

                    Free

                    Inbound transfers, always. Outbound transfers, up to 200 GB per month.

                    Premium tier

                    Leverage Google's premium backbone to carry traffic to and from your external users.

                    Description

                    Starting at

                    $0.08

                    Per GB per month for outbound data transfers. Inbound transfers remain free.

                    To estimate costs based on your requirements, use our pricing calculator or request a quote.

                    Pricing calculator

                    Estimate your monthly Compute Engine charges, including cluster management fees.

                    Need help?

                    Chat to us online, call us directly, or request a call back.

                    Ready to try Axion?

                    Try C4A in-console; new users get $300 in free trial credits to use within 90 days

                    Have a large project?

                    Get expert help evaluating and implementing Axion-powered applications

                    Troubleshooting Arm workloads

                    Prepare an Arm workload for deployment

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