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Getting Started

NVIDIA Brev Documentation

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Quickstart

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.

Get started quickly

Launch your first GPU instance with the quickstart guide.

Connect with VS Code

Set up VS Code Remote SSH to develop directly on your GPU instance.

Run Jupyter notebooks

Access JupyterLab on your GPU instance with port forwarding.

Deploy custom containers

Run Docker and Docker Compose workloads on GPU instances.

Learn the CLI

Install and configure the Brev CLI for terminal-based workflows.

Deploy NVIDIA NIMs

Run optimized NVIDIA inference microservices on your instance.

Core Concepts

GPU Instances

Preconfigured VMs with NVIDIA GPUs, Python, CUDA, Docker, and Jupyter ready to use.

Launchables

One-click deployable environments. Bundle hardware, software, and code into shareable links.

Environments

Preinstalled AI/ML tools including Python, CUDA, Docker, Jupyter, and more.

Popular Guides

LevelGuideTime
BeginnerVS Code Remote SSH Setup~10 min
BeginnerRunning Jupyter Notebooks~10 min
IntermediateCustom Docker Containers~15 min
AdvancedDeploying NVIDIA NIMs~20 min