Clusters are the compute backends that run your FlexAI workloads. Each cluster is provisioned with a specific accelerator type (for example, NVIDIA H100 or A100) and is made available to one or more organizations. By default, FlexAI selects a cluster automatically based on theDocumentation Index
Fetch the complete documentation index at: https://docs.flex.ai/llms.txt
Use this file to discover all available pages before exploring further.
--device-arch flag of the command you run. If you need to pin a workload to a specific cluster — for instance, to target a particular accelerator model — you can pass --affinity cluster=<cluster_name> to flexai training run, flexai training debug-ssh, or flexai inference serve.
Use the flexai cluster set of subcommands to discover which clusters your organization can use.
Available subcommands
flexai cluster list- Lists the clusters available to your organization.