*** title: NVIDIA Brev Documentation description: >- Get started with NVIDIA Brev - GPU-accelerated AI/ML development platform. Access configured GPU instances across multiple cloud providers. ---------------------------------------------------------------- NVIDIA Brev provides instant access to GPU instances preconfigured for AI and ML development across multiple cloud providers. Select a GPU, launch an instance, and start developing. Your GPU instance will include NVIDIA drivers, CUDA, Python, and Docker, all ready to use. Launch your first GPU instance with the quickstart guide. Set up VS Code Remote SSH to develop directly on your GPU instance. Access JupyterLab on your GPU instance with port forwarding. Run Docker and Docker Compose workloads on GPU instances. Install and configure the Brev CLI for terminal-based workflows. Run optimized NVIDIA inference microservices on your instance. ## Core Concepts Preconfigured VMs with NVIDIA GPUs, Python, CUDA, Docker, and Jupyter ready to use. One-click deployable environments. Bundle hardware, software, and code into shareable links. Preinstalled AI/ML tools including Python, CUDA, Docker, Jupyter, and more. ## Popular Guides | Level | Guide | Time | | ------------ | ------------------------------------------------------------------------ | -------- | | Beginner | [VS Code Remote SSH Setup](/guides/development-tools/vscode-setup) | \~10 min | | Beginner | [Running Jupyter Notebooks](/guides/development-tools/jupyter-notebooks) | \~10 min | | Intermediate | [Custom Docker Containers](/guides/development-tools/custom-containers) | \~15 min | | Advanced | [Deploying NVIDIA NIMs](/guides/inference-deployment/deploying-nims) | \~20 min |