Documentation
Root access in a minute. Docs in five.
Your server is a dedicated Linux machine with GPUs. These guides cover connecting, checking the hardware, choosing an image, billing and the inventory API.
Quickstart
Connect to your CoreGPU server over SSH, check the GPUs and their interconnect, and run your first PyTorch job in a few minutes.
ReadImages & templates
The OS images you can choose when your GPU server is delivered: clean Ubuntu, CUDA and ROCm stacks, PyTorch and vLLM.
ReadBilling
How monthly GPU billing works at CoreGPU: when you pay, how renewals, resizing and cancellations work, and which payment methods we accept.
ReadAPI reference
Public JSON API for live CoreGPU stock and prices: list every GPU or fetch one model, with availability and restock dates.
ReadCLI
The coregpu command-line tool: list live stock, deploy a server, renew and stop from your terminal. Currently in early access.
ReadValidate a new server
Burn-in, NVLink and NCCL checks to run before a long job, with expected results per GPU.
Read the guideStuck on something?
Our engineers answer by email, usually within one business day. Include your server hostname and what you tried.