This topic lists the use cases of Elastic Algorithm Service (EAS) of Platform for AI (PAI).
LLM
Case | Description |
Use EAS to deploy a large language model (LLM) application with WebUI and API support. |
AIGC
Case | Description |
Deploy and call a MLLM inference service using EAS. | |
Deploy an AI video generation application with ComfyUI and Stable Video Diffusion in EAS. A quick text-to-video solutions for creating short videos or animations on social platforms. | |
Use Stable Diffusion web UI to deploy an AI painting service | Deploy Stable Diffusion as a web application in EAS and generate images from text prompts. |
Deploy open-source Kohya_ss using EAS and train LoRA Stable Diffusion model. |
RAG
Case | Description |
The complete development process for a RAG-based LLM chatbot. | |
Integrate Elasticsearch with RAG services. It also includes the core capabilities of the RAG chatbot and the unique features of Elasticsearch. | |
Integrate OpenSearch Vector Search Edition with RAG services. It also includes the core capabilities of the RAG chatbot and the unique features of OpenSearch Vector Search Edition. | |
Use EAS and ApsaraDB RDS for PostgreSQL to deploy a RAG-based LLM chatbot | Integrate an ApsaraDB RDS for PostgreSQL instance with RAG services. It also includes the core capabilities of the RAG chatbot and the unique features of ApsaraDB RDS for PostgreSQL. |
EAS general solutions
Case | Description |
Enable cross-VPC access through a dedicated gateway using Cloud Enterprise Network (CEN). | |
Deploy a Hugging Face model as a service application in EAS. | |
Best practices for using PAI-EAS Spot to optimize resource utilization, reduce costs, and maintain service stability. | |
Implement link tracing features when deploying services in EAS. |