How to Deploy CogVLM on AWS

Piotr Skalski outlines the process of deploying a CogVLM Inference Server on Amazon Web Services (AWS), detailing the necessary setup and requirements for successful implementation. CogVLM, an open-source Large Multimodal Model, excels in tasks such as Visual Question Answering, Optical Character Recognition, and Zero-shot Object Detection. Despite its capabilities, support for CogVLM is ending due to dependency conflicts and security vulnerabilities, and users are encouraged to transition to fully-supported Visual Language Models. The guide provides a comprehensive walkthrough on setting up an EC2 instance, ensuring necessary software like CUDA and Docker is installed, and configuring network and storage settings. By using a client script available on GitHub, users can run inference queries through a Gradio app, with recommendations for monitoring server performance using Docker and NVIDIA tools. The post concludes by highlighting CogVLM’s versatility and potential to replace models like GPT-4V, while encouraging further exploration of its deployment through the provided documentation.