Introduction to Clusters

Register, operate, and govern clusters for Bud workloads

Overview

The Clusters module is Bud’s infrastructure control plane for model-serving and evaluation workloads. It gives platform teams a single place to onboard clusters, track health, manage node capacity, and apply runtime defaults.

Whether you run GPU-heavy production inference or mixed CPU/GPU environments, Clusters helps you keep operations reliable and auditable.

Why Clusters Matter

Unified infrastructure visibility Track capacity, status, and deployments across all connected clusters.

Safe cluster lifecycle operations Add, edit, and remove clusters with guardrails for active deployments.

Hardware-aware planning Understand CPU/GPU/HPU/TPU availability, worker utilization, and scaling readiness.

Operational defaults at cluster level Configure storage classes and access modes once and reuse across deployments.

Cluster Lifecycle in Bud

Core Areas in the Clusters Module

Area	What you can do
Cluster List	View all clusters, hardware profile, endpoints, and status
General Tab	Review node and resource summaries with utilization trends
Deployments Tab	Inspect deployments running on the selected cluster
Nodes Tab	Analyze per-node status, capacity, and events
Analytics Tab	Review cluster-level metrics and usage views
Settings Tab	Configure default storage class and access mode

Who Uses This Module

• Platform / Infra teams managing capacity and reliability.
• MLOps teams validating where models should run.
• Security and governance leads auditing cluster operations and permissions.

Getting Started

Quick Start

Register your first cluster and verify readiness

Cluster Concepts

Learn module structure, tabs, and lifecycle concepts

Step-by-Step Tutorial

Walk through creation, validation, and operations