docs/en/deploy/astrbot/compshare.md
Compshare is UCloud's GPU compute rental and LLM API platform, offering compute resources for AI, deep learning, and scientific workloads.
AstrBot provides an Ollama + AstrBot one-click self-deployment image on Compshare, and also supports Compshare model APIs.
Default image spec: RTX 3090 24GB + Intel 16-core + 64GB RAM + 200GB system disk. Billing is pay-as-you-go, so please monitor your balance.
JupyterLab from the console.cd
./astrbot_booter.sh
If startup succeeds, you should see output similar to:
(py312) root@f8396035c96d:/workspace# cd
./astrbot_booter.sh
Starting AstrBot...
Starting ollama...
Both services started in the background.
After startup, open http://<instance-public-ip>:6185 in your browser to access the AstrBot dashboard.
You can find the public IP in Console -> Basic Network (Public).
It may take around 30 seconds before the page becomes reachable.
Login with username astrbot and password astrbot.
After logging in, you can reset your password and continue setup.
The instance imports Ollama-DeepSeek-R1-32B by default.
The image includes Ollama. You can pull any model and host it locally on the instance.
ollama pull <model-name> and wait for completion.ollama_deepseek-r1, update the model name, and save.AstrBot supports direct access to model APIs provided by Compshare.
+ Add Provider, then choose Compshare.
If Compshare is not listed, choose OpenAI-compatible access and set API Base URL to https://api.modelverse.cn/v1.
Enter the model name in model configuration and save.In AstrBot Dashboard, click Chat and run /provider to view and switch your active provider.
Then send a normal message to test whether the model works.
You can follow the latest platform integration guides in the AstrBot Documentation. Open the docs and check the left sidebar under Messaging Platforms.
For more capabilities, see the AstrBot Documentation.