Deploying DeepSeek Large Language Models with Zero Code on Alibaba Cloud PAI
The rise of large language models (LLMs) has revolutionized various fields, but deploying and managing these models can be challenging. Alibaba Cloud's Platform of Artificial Intelligence (PAI) offers a streamlined solution, enabling even beginners to deploy powerful models like DeepSeek-V3 and DeepSeek-R1 with minimal coding. This article provides a step-by-step guide on how to leverage Alibaba Cloud PAI for zero-code DeepSeek model deployment.
What is Alibaba Cloud PAI?
Alibaba Cloud PAI (Platform of Artificial Intelligence) is a comprehensive AI engineering platform designed to simplify the entire AI lifecycle, from training to deployment and inference. It provides a user-friendly interface and a range of tools that abstract away the complexities of AI infrastructure management. With PAI, developers and businesses can focus on building and deploying AI applications more efficiently.
Why Use Alibaba Cloud PAI for DeepSeek Deployment?
- Zero-Code Deployment: PAI enables the deployment of DeepSeek models without requiring extensive coding knowledge.
- Simplified Workflow: The platform streamlines the entire process from model selection to accessing call information.
- Efficient AI Development: PAI's intuitive interface accelerates AI development and application.
- PAI Model Gallery: The PAI Model Gallery offers pre-built models like DeepSeek-V3 and DeepSeek-R1, ready for one-click deployment.
Step-by-Step Guide to Deploying DeepSeek on Alibaba Cloud PAI
Here's a detailed guide on how to deploy DeepSeek models using Alibaba Cloud PAI:
1. Activate Alibaba Cloud PAI
- Navigate to the Alibaba Cloud PAI page.
- Click on the "Activate Now" button.
- Follow the on-screen prompts to authorize roles and activate the service.
2. Access the PAI Console
- Once activated, go to the PAI Management Console: https://pai.console.aliyun.com/
- In the console, click on "Model Gallery" in the left-hand navigation menu.
- Search for "DeepSeek" to find the supported DeepSeek versions.
3. Select and Deploy a DeepSeek Model
- The Model Gallery will display a list of available DeepSeek models.
- Choose the desired model (e.g., "DeepSeek-R1-Distill-Qwen-7B").
- Click on the model card to view its details.
- Click the "Deploy" button in the top right corner.
- Configure the deployment settings as needed (you can typically use the defaults).
- Click "Deploy" again to initiate the one-click deployment process.
4. Obtain Call Information
- After successful deployment, go to the service page to find the deployed service.
- Click on "View Call Information" to retrieve the endpoint and token required to interact with the deployed DeepSeek model.
- Refer to the model introduction page for detailed instructions on how to use the model.
Different Deployment Options for DeepSeek Models
- DeepSeek-R1: Supports accelerated deployment using vLLM.
- DeepSeek-V3: Offers options for vLLM accelerated deployment and web application deployment.
- DeepSeek-R1 Distilled Small Models: Can be deployed using BladeLLM (Alibaba Cloud PAI's high-performance inference framework) and vLLM for optimized performance and reduced costs.
Optimizing Deployment with Distillation
The "DeepSeek-R1-Distill-Qwen-7B" model exemplifies how distillation techniques can enhance efficiency. It leverages the reasoning capabilities of DeepSeek-R1 and transfers them to a smaller Qwen model. This approach maintains high performance while significantly lowering computational costs, making it an excellent choice for resource-constrained environments.
Conclusion
Alibaba Cloud PAI provides a user-friendly and efficient platform for deploying DeepSeek LLMs. By abstracting away the complexities of infrastructure management and offering one-click deployment options, PAI empowers developers and businesses to quickly integrate powerful AI models into their applications. Whether you're an AI novice or an experienced practitioner, Alibaba Cloud PAI simplifies the deployment process and accelerates AI innovation.
