Create a Workbench compute pool

Compute pools provide the infrastructure that Workbench sessions, training jobs, and endpoints run on. This guide walks through creating a new pool from the Workbench interface.

Prerequisites

• A Kubernetes cluster in ready status
• Admin permissions on the workspace

Create a pool

1. Click Workbench in the left sidebar, then click Pools.
2. Click New Pool.
3. Select the Kubernetes cluster the pool will be created on.
4. Configure the pool:
   • Name -- a descriptive identifier (for example, gpu-training or cpu-general)
   • Role -- control (cluster management) or worker (compute workloads)
   • Instance types (AWS) -- click to open the instance browser and select one or more EC2 types
   • Profile (non-AWS) -- choose Small (4 vCPU, 8 GiB), Medium (8 vCPU, 16 GiB), or Large (16 vCPU, 32 GiB)
   • Min size -- minimum number of nodes
   • Max size -- maximum number of nodes for autoscaling
5. Optionally add Labels (key-value pairs for scheduling) and Taints (to restrict which workloads run on this pool).
6. Click Create.

tip

Set min=0 for scale-to-zero behaviour. Nodes are provisioned on demand and terminated when idle. This reduces costs for bursty workloads but adds 2--5 minutes of startup latency.

Verify the pool

The new pool appears in the Pools list with a node count and status. Sessions and training jobs can now target this pool when selecting compute resources.

Related

• Manage compute profiles -- configure named sizing options
• Manage compute pools -- edit and delete pools from the cluster detail page