How to Deploy a Full‑Power DeepSeek R1 Model on Alibaba Cloud Without Rate Limits
This guide walks you through deploying a private DeepSeek R1 inference service on Alibaba Cloud using CAP and AgentCraft, covering architecture, one‑click deployment, database and vector model configuration, UI customization, cleanup tips, and FAQs for seamless, unlimited AI inference.
DeepSeek R1 inference model offers high performance but the official service imposes rate‑limit restrictions, causing usage anxiety.
This tutorial shows how to deploy a private DeepSeek R1 service on Alibaba Cloud using the Cloud Application Platform (CAP) and AgentCraft, achieving full‑speed, unlimited, long‑context inference.
Use Cases and Value
The solution is simple to operate; even ordinary users can deploy with one‑click templates without deep server knowledge. After deployment users can connect personal databases and create diverse scenarios such as a family‑doctor chatbot, industry news platform, or AI drawing tool.
Deployment Architecture
The architecture uses AgentCraft, a serverless intelligent‑agent platform compatible with the Serverless Devs ecosystem. The diagram below illustrates the upstream and downstream services.
Deployment Steps
Log in to Alibaba Cloud CAP and open the “Intelligent Agent World” template (https://cap.console.aliyun.com/template-detail?template=AgentCraft-CAP).
Follow the one‑click deployment guide.
Open the deployed service (see screenshot).
Configuration
After AgentCraft deployment, configure the required database (highly recommended to use a dedicated database) and optionally the vector model (large‑bge). Images illustrate the configuration pages.
Custom UI
Users can customize the chatbot UI, e.g., creating a “Xiao Wang” backend and DS ChatBot. Screenshots show the customized interface.
Cleanup Guidelines
If using the shared database, delete datasets, LLM agents, and agents promptly to avoid data leakage.
FAQ
Q: Service cannot connect to database. Ensure VPN consistency, use a high‑privilege account, and grant it access. If using VPC, open public connection for testing.
Q: How to adjust model context? Set max_token option when building the agent.
Q: Can the shared database be used long‑term? Not recommended due to security risks.
References
[1] http://agentcraft-docs.serverless-developer.com
[2] https://www.serverless-devs.com/
[3] http://agentcraft-docs.serverless-developer.com/
[4] https://www.aliyun.com/product/rds
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