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tomz
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coreweave-k8s

Configure CoreWeave Kubernetes environments for GPU workloads with kubeconfig and namespaces.

Updated Apr 27, 2026
Search Tags:#rbac#kubernetes#cloud-native#gpu#namespace#cluster-management#coreweave
One-click install
npx skills add https://github.com/tomz/agent-skills --skill coreweave-k8s
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: coreweave-k8s
Source: https://github.com/tomz/agent-skills/tree/main/coreweave-k8s
Command: npx skills add https://github.com/tomz/agent-skills --skill coreweave-k8s

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

CoreWeave Kubernetes platform setup and day-2 operations for GPU workloads, including kubeconfig management, region awareness, namespaces, RBAC, storage, networking, and app catalog usage.

Core Features & Use Cases

  • Kubeconfig setup per-namespace and region mapping for secure access.
  • Namespace RBAC and CoreWeave annotations to control billing and networking.
  • Storage provisioning across shared, block, and object storage, with examples for model workloads.
  • Node affinity and taints/tolerations for GPU classes and region-specific scheduling.
  • CoreWeave Apps catalog integration and common kubectl patterns for day-to-day ops.
  • Ingress, LoadBalancer, and internal networking patterns for GPU workloads.

Quick Start

Merge your per-namespace kubeconfig into ~/.kube/config and verify access to CoreWeave with kubectl cluster-info.

Frequently Asked Questions about coreweave-k8s

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I configure CoreWeave Kubernetes for GPU workloads?▼

Kubeconfig management for CoreWeave Kubernetes enforces per-namespace configurations and region mapping to secure access. This ensures isolated control over multi-namespace deployments, region-aware workloads, and precise RBAC across teams.

How do I schedule region-aware GPU workloads using node taints and tolerations?▼

To deploy on CoreWeave Kubernetes, you must merge your per-namespace kubeconfig into ~/.kube/config, which enables secure access to namespaces, regions, and GPU workload resources.

Can I use standard kubectl patterns for day-2 operations on CoreWeave?▼

Yes, CoreWeave Kubernetes supports standard kubectl usage for day-to-day operations. You can use common kubectl patterns to manage apps catalog integrations, storage provisioning, and networking tasks.

Does CoreWeave Kubernetes support shared, block, and object storage provisioning?▼

CoreWeave Kubernetes supports storage provisioning across shared, block, and object storage. It provides specific examples and storage class best practices to handle storage requirements for demanding model workloads.

How do I control billing and networking using namespace RBAC annotations?▼

You control billing and networking by applying namespace RBAC and CoreWeave annotations. These configurations enforce per-namespace management, restricting access and managing resources across different teams.

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