> ## Documentation Index > Fetch the complete documentation index at: https://docs.brightnode.cloud/llms.txt > Use this file to discover all available pages before exploring further. # Welcome to Brightnode > Learn how to run dedicated compute, hosted inference, and shared storage on Brightnode. Brightnode gives you dedicated compute, hosted inference, and shared storage for AI workloads. Use Bnodes when you want full control over the machine, and use the hosted inference stack when you want a single OpenAI-compatible endpoint for model access. ## Get started If you're new to Brightnode, start here for the core product concepts and account setup flow. Create an account, deploy your first Bnode, and connect to it. Compare Router, Models, Beams, Bnodes, and storage. Learn the key platform terms used throughout the docs and console. Create scoped API keys for inference and deployment workflows. ## Inference Brightnode's hosted inference experience is built around a shared router, a model catalog, scoped API keys, and usage analytics. Use one OpenAI-compatible endpoint across the Brightnode model catalog. Browse available model IDs, metadata, pricing, and quickstarts. Track requests, tokens, latency, and cost in the console. Learn how preview model deployments fit into the inference stack. ## Compute and storage Use Bnodes when you need full environment control, persistent sessions, and custom containers. Use network volumes when you want portable storage that survives machine lifecycles. Launch dedicated GPU or CPU machines for training, experimentation, and long-running services. Keep data persistent across Bnodes and shared workflows. Upload and manage network volume data without starting a machine. Use built-in tools such as JupyterLab, VS Code Server, and vLLM. ## Support Submit a support request using our contact page. Email [help@brightnode.cloud](mailto:help@brightnode.cloud) for direct support. Check the status of Brightnode services and infrastructure. Join the Brightnode community on Discord.