nvcf
Deploy and manage GPU cloud functions on Kubernetes
All Skills in This Repository (4)
Pure Emerald Level Indicatorsnvcf-self-managed-cli
Manage self-hosted NVIDIA Cloud Functions deployments end-to-end with nvcf-cli.
nvcf-self-managed-installation
Automate deployment, upgrades, and teardown of the NVCF self-managed stack on Kubernetes clusters.
documentation-style
Enforce ASCII-only, bold-free Markdown documentation style across NVCF repos.
nvcf-explore-stack
Trace NVCF helmfile stack deployments and dependencies from helmfile.d sources.
Frequently Asked Questions
FAQPage SchemaHow to install nvcf?โผ
Run `npx skills add NVIDIA/nvcf --all -g -y` in your terminal to install all skills in this suite globally.
How to deploy GPU functions on my own Kubernetes cluster?โผ
The nvcf-self-managed-cli and nvcf-self-managed-installation skills walk the agent through control-plane install, cluster registration, and function deploy and invoke using nvcf-cli and Helmfile.
What prerequisites does a self-hosted NVCF cluster need?โผ
The prerequisite skill installs nvcf-cli, KAI Scheduler, and the SMB CSI driver with pinned, NVCF-validated Helm versions before the compute plane is installed.
Does nvcf work with Claude Code and Cursor?โผ
Yes. All skills follow the universal SKILL.md standard and run in Claude Code, Cursor, Codex, and other compatible agents.
Can I safely tear down an NVCF deployment?โผ
Yes. The skills enforce plan-only dry runs first and guide the agent through ordered compute-plane then control-plane teardown without touching unrelated cluster resources.
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