Version 1.6. This version is no longer supported. For information about how to upgrade to version 1.7, see Upgrading Anthos on bare metal in the 1.7 documentation. For more information about supported and unsupported versions, see the Version history page in the latest documentation.
Google Distributed Cloud supports a wide variety of systems, and runs on the
hardware that is supported by the target operating system distributions.
An Google Distributed Cloud configuration can run on
minimal hardware, or on multiple machines to provide flexibility,
availability, and performance.
Regardless of your Google Distributed Cloud configuration, your
nodes and clusters must have enough CPU, RAM, and storage resources
to meet the needs of clusters and the workloads you are running.
Minimum and recommended CPU, RAM, and storage requirements
The following table describes the minimum and recommended hardware requirements for
running Google Distributed Cloud.
Resource
Minimum
Recommended
Comments
CPUs / vCPUs
4 core
8 core
Google Distributed Cloud requires a minimum of 2 machines, comprising a single
admin cluster and a single workload cluster. Each of the machines require
the minimum resources described here.
For highly available (HA) nodes and improved performance, we suggest a
realistic minimum of 5 Machines, all with the recommended level of resources.
When you install Google Distributed Cloud, you can create different kinds of
clusters:
An admin cluster creates and controls user clusters to run workloads.
A standalone cluster is a single cluster than can administer and run
workloads on that cluster, but can't create or administer user clusters.
A hybrid cluster can administer and run workloads, but it can also create
and manage additional user clusters.
Despite the fact that these configurations can require somewhat different
hardware resources in operation, the minimum and recommended hardware resources
are the same for all cluster types.
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