Cloud RDMA enables low-latency reliable messaging capabilities by using the IRDMA RDMA driver. This driver supports Remote Direct Memory Access (RDMA) between Compute Engine instances. RDMA transfers data between remote machines and local memory through the network interface without using host CPU or intermediate host buffers.
Cloud RDMA capable instances require at least two virtual network interfaces (vNICs):
- A vNIC for Cloud RDMA communication that uses the IDPF network and IRDMA RDMA driver. This vNIC can't connect to the internet. An instance can have only one vNIC that uses Cloud RDMA.
- A vNIC for normal network traffic. This vNIC is fully connected to the Google Cloud network and can connect to the internet. This vNIC uses the gVNIC network driver. You can add up to eight additional gVNIC network interfaces, for a total of 10 vNICs per instance.
The IRDMA driver is supported with H4D instances.
When configuring a vNIC that uses the IRDMA driver, you must specify a VPC network that was created by using the Falcon RDMA network profile.
Before you begin
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If you haven't already, set up authentication.
Authentication verifies your identity for access to Google Cloud services and APIs. To run
code or samples from a local development environment, you can authenticate to
Compute Engine by selecting one of the following options:
Select the tab for how you plan to use the samples on this page:
Console
When you use the Google Cloud console to access Google Cloud services and APIs, you don't need to set up authentication.
gcloud
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Install the Google Cloud CLI. After installation, initialize the Google Cloud CLI by running the following command:
gcloud initIf you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.
- Set a default region and zone.
REST
To use the REST API samples on this page in a local development environment, you use the credentials you provide to the gcloud CLI.
Install the Google Cloud CLI. After installation, initialize the Google Cloud CLI by running the following command:
gcloud initIf you're using an external identity provider (IdP), you must first sign in to the gcloud CLI with your federated identity.
For more information, see Authenticate for using REST in the Google Cloud authentication documentation.
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Operating system support
Google recommends using the HPC VM image, which comes with Cloud RDMA drivers pre-installed.
Of the public OS images provided for Google Cloud, the IRDMA RDMA driver is supported with the following:
- Container-Optimized OS 117 LTS or later
- Rocky Linux 8 optimized for Google Cloud and later optimized for Google Cloud versions
Overview of using Cloud RDMA with Compute Engine instances
To create a compute instance that uses Cloud RDMA, you must have at least one regular VPC network and one Falcon VPC network. The Falcon VPC network uses the Falcon RDMA network profile to enable Cloud RDMA traffic between H4D instances. This network is separate from the regular VPC network that carries non-RDMA traffic to other Google Cloud services or the internet.
The tasks to complete to create a compute instance that uses Cloud RDMA are as follows:
- Choose a public OS image that supports Cloud RDMA, or create a custom OS image that is tagged to use IRDMA.
Identify or create at least two VPC networks:
- A regular VPC network for the traffic that goes through the gVNIC network interface
- A Falcon VPC network for the Cloud RDMA traffic
Create a compute instance using the public or custom OS image. During the instance creation, configure at least two network interfaces: one that uses the gVNIC network driver and one that uses the IRDMA RDMA driver.
Verify that Cloud RDMA is enabled.
Create a custom OS image that supports Cloud RDMA
You can create the OS image using either the Google Cloud CLI or REST. For detailed information and best practices for creating custom OS images, see Create custom OS images.
gcloud
Select an OS image or image family that supports the IRDMA driver and interface. For more information, see Operating system details and select the Interfaces tab.
Using the OS image or image family selected in the previous step, create a custom OS image. To create the custom OS image, use the
gcloud compute images createcommand. For example, the following command creates a custom OS image that supports the IRDMA driver and is based on a specific OS image.gcloud compute images create IMAGE_NAME \ --source-image=SOURCE_IMAGE \ --source-image-project=SOURCE_IMAGE_PROJECT \Replace the following:
IMAGE_NAME: the name of the image that you want to createSOURCE_IMAGE: a specific OS image that supports the IRDMA driver—for example:hpc-rocky-linux-8-v20250721If you want to use the latest OS image in an image family, replace the
--source-imageflag with the--source-image-familyflag and set its value to an image family that supports the IRDMA driver. For example:--source-image-family=hpc-rocky-linux-8.SOURCE_IMAGE_PROJECT: the name of the project that contains the source OS image or image family
For more information about when to use image families, see Image family best practices.
REST
Select an OS image or image family that supports the IRDMA network interface. For more information, see Operating system details.
Using the OS image or image family selected in the previous step, create an OS image by using the
images.insertmethod.POST https://compute.googleapis.com/compute/v1/projects/PROJECT_ID/global/images { "name":"IMAGE_NAME", "sourceImage":"SOURCE_IMAGE_URI" }Replace the following:
PROJECT_ID: the ID of the project in which to create the new imageIMAGE_NAME: a name for the custom imageSOURCE_IMAGE_URI: the URI for the specific OS image or image family that you want to useFor example:
- Specific OS image:
"sourceImage": "projects/rocky-linux-cloud/global/images/hpc-rocky-linux-8-v20250721" - Image family:
"sourceImage": "projects/rocky-linux-cloud/global/images/family/hpc-rocky-linux-8"
When you specify an image family, Compute Engine creates a VM from the most recent, non-deprecated OS image in that family. For more information about when to use image families, see Image family best practices.
- Specific OS image:
Create a VM with IRDMA driver support
You can create a VM using one of the supported public OS images or using a custom OS image you created using the steps in Create a custom OS image that supports IRDMA.
To use Cloud RDMA with your instance, you must configure multiple
network interfaces (NICs) for the instance. One NIC must use the GVNIC driver
(specify nic-type=GVNIC) and another NIC must use the IRDMA driver (specify
nic-type=IRDMA).
Create a VM using a public OS image
To create VMs using the HPC VM image, or a public OS image that supports Cloud RDMA, follow the instructions on the following pages:
- To create an on-demand instance, see Create an instance that uses Cloud RDMA.
- To create Cloud RDMA-enabled instances in bulk, see Bulk create HPC-optimized instances that use Cloud RDMA.
- To use Slurm to create a cluster of Cloud RDMA-enabled instances, see Create an Cloud RDMA-enabled HPC Slurm cluster with H4D instances.
- To create a MIG, see Create a HPC MIG with H4D machine series.
Create a VM using a custom OS image
If you created a custom OS image that supports Cloud RDMA, you can use that custom OS image to create a VM by using the Google Cloud console, Google Cloud CLI, or REST.
For instructions on how to create an instance using a custom image, see Create an instance from a custom image.
Verify that Cloud RDMA is enabled
After the VM is deployed, run the following performance bandwidth test to ensure that you are running on a healthy Cloud RDMA-enabled VM instance.
ib_send_bw -aF & # start the server
ib_send_bw -aF $(hostname) # start the client (can be done on the same machine)
The reported single-connection bandwidth BW average [MB/s] should reach at
least 11,000 MBps for rows higher than 4096 B. Smaller values are
expected for lower message sizes.
What's next
- Connect to your instance.
- Change the MTU setting of a VPC network.
- Overview of HPC cluster creation
- Set up and scale MPI applications on H4D VMs with Cloud RDMA.