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

# Guides

## Docs

- [Guides](https://docs.nvidia.com/brev/latest/guides/all-guides.md): Step-by-step guides for common NVIDIA Brev workflows - console, secrets, API keys, VS Code, Jupyter, Docker, and NVIDIA NIMs.
- [Console Reference](https://docs.nvidia.com/brev/latest/guides/console-reference.md): Navigate the NVIDIA Brev web console to manage GPU instances, teams, secrets, API keys, and billing.
- [Secrets](https://docs.nvidia.com/brev/latest/guides/secrets.md): Store encrypted, versioned organization secrets and use them as NVIDIA Brev Launchable parameter values.
- [API Keys](https://docs.nvidia.com/brev/latest/guides/api-keys.md): Create and manage personal API keys for programmatic access to an NVIDIA Brev organization.
- [Use Brev in CI/CD](https://docs.nvidia.com/brev/latest/guides/ci-cd.md): Authenticate the Brev CLI with an API key so a pipeline can create an instance, run a workload on it, and delete it.
- [VS Code Remote SSH Setup](https://docs.nvidia.com/brev/latest/guides/development-tools/vscode-setup.md): Configure VS Code Remote SSH to develop on your NVIDIA Brev GPU instance.
- [Running Jupyter Notebooks](https://docs.nvidia.com/brev/latest/guides/development-tools/jupyter-notebooks.md): Run JupyterLab on your NVIDIA Brev GPU instance with port forwarding.
- [Monitor GPU Usage with NVDashboard](https://docs.nvidia.com/brev/latest/guides/development-tools/nvdashboard.md): Install the NVDashboard JupyterLab extension to view live GPU utilization, memory, and throughput charts inside JupyterLab.
- [Custom Docker Containers](https://docs.nvidia.com/brev/latest/guides/development-tools/custom-containers.md): Run Docker and Docker Compose workloads with GPU access on NVIDIA Brev.
- [File Transfer with SCP](https://docs.nvidia.com/brev/latest/guides/development-tools/file-transfer-scp.md): Transfer files to and from GPU instances using SCP and the brev copy command.
- [Running Agents on Brev](https://docs.nvidia.com/brev/latest/guides/ai-agents/agent-sandboxes.md): Deploy AI agents on NVIDIA Brev CPU instances for sandboxed code execution, web tasks, and more.
- [Using the CLI with AI Agents](https://docs.nvidia.com/brev/latest/guides/ai-agents/cli-with-agents.md): Install the Brev CLI skill for AI coding agents like Claude Code and Codex to manage GPU instances with natural language.
- [Deploying NVIDIA NIMs](https://docs.nvidia.com/brev/latest/guides/inference-deployment/deploying-nims.md): Deploy NVIDIA Inference Microservices (NIMs) on your Brev GPU instance.
- [NGC Developer Guide](https://docs.nvidia.com/brev/latest/guides/inference-deployment/ngc-developer-guide.md): Everything you need to know about NVIDIA GPU Cloud (NGC) - the hub for GPU-optimized AI software.
- [Connect DGX Spark](https://docs.nvidia.com/brev/latest/guides/registered-compute/connect-dgx-spark.md): Connect your NVIDIA DGX Spark to Brev for SSH access, team sharing, and port forwarding.
- [Connect DGX Station](https://docs.nvidia.com/brev/latest/guides/registered-compute/connect-dgx-station.md): Connect your NVIDIA DGX Station to Brev for SSH access, team sharing, and port forwarding.
- [Managing Brev Connect](https://docs.nvidia.com/brev/latest/guides/registered-compute/managing-brev-connect.md): Share access, forward ports, view device details, and deregister Brev Connect machines from NVIDIA Brev.