RemoteGPU Docs

Use these guides to run applications on RemoteGPU, set up a VM, or call our text, image, and video APIs.

Choose a starting point

Choose a product based on what you want to run.

Product	Use case	Start with
Token Factory	Generate text, images, or videos through an HTTP API	Token Factory overview
Virtual Machine	Run a Linux OS with root access on a CPU or GPU plan	Virtual machines
Kubernetes	Run containerized applications with networking and storage	Kubernetes overview
Application	Run a hosted app from the console	Application overview

Service endpoints

Use the console to manage your account and resources. When connecting an application, use the API address for the product you chose.

Endpoint	Purpose	Guide
console.remotegpu.ai	Customer console	Choose a product above
api.remotegpu.ai	API for managing RemoteGPU resources	API keys
byteplus.remotegpu.ai	BytePlus-compatible video API	BytePlus
vllm.remotegpu.ai	OpenAI-compatible Text API	vLLM
inference.remotegpu.ai	Image API and shared model catalog	Image
docs.remotegpu.ai	Customer documentation	This site

Read next

• Read API keys to set up API or kubectl access.
• Read Create a VM to launch a Linux instance.
• Read Deployments to run a container workload.
• Read Comfy to create a hosted workspace.