> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://docs.nvidia.com/ccluster/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://docs.nvidia.com/ccluster/_mcp/server.

# Quickstart

> Get Started with the NVIDIA CCluster

NVIDIA CCluster provides dedicated LLM endpoints, general inference, and compute deployments — all backed by optimized infrastructure.

No need to worry about GPU provisioning, scaling, or maintenance — just log in and deploy.

## 1. Log into the NVIDIA CCluster

To get started, sign in to the NVIDIA CCluster console using the access details provided by your NVIDIA team.

![NVIDIA CCluster sign-in screen](/ccluster/_fern-files/_img/d6903d5ce2109a6ed1c5b14514b66f260eedad78878ef893237a9f933708eeae.webp)

Once logged in, you will see the NVIDIA CCluster console home page, as shown below.

![NVIDIA CCluster console home page](/ccluster/_fern-files/_img/9ce010797f91a2b012aee262fa2770fbecf5541fc4af2984a0b160fcede21559.webp)

## 2. Create a bearer token

Endpoints are never public — every request must authenticate with a Bearer token or a client certificate. To interact with NVIDIA CCluster endpoints programmatically, generate a Bearer Token by following the [Managing Vault Objects](/ccluster/resources/vault) documentation. For all protection options, see [Securing Endpoints](/ccluster/resources/private).

## 3. Deploy your first model

Choose the deployment type that fits your use case:

* **[LLM Serving](/ccluster/apps/llm)** — Deploy dedicated, protected LLM endpoints tailored to your performance requirements and budget.
* **[General Inference](/ccluster/apps/inference)** — Deploy custom containerized models on NVIDIA-managed infrastructure.
* **[Compute](/ccluster/apps/compute)** — Provision GPU compute for training, fine-tuning, or batch workloads.

## Additional support: billing, sales, and/or technical

For access, billing, sales, or technical assistance, contact your NVIDIA representative or your organization's designated support contact.

## What's next

#### [LLM Serving](/ccluster/apps/llm)

Explore dedicated, protected endpoints for production model deployments.

#### [Deploying Custom Models](/ccluster/resources/custom-image)

Learn how to build your own containerized inference engines and deploy them on the NVIDIA CCluster.

#### [Clients](/ccluster/clients/setup)

Learn how to interact with the NVIDIA CCluster programmatically