Serving Online Inference with LMDeploy on Vast.ai
Blog post from Vast.ai
LMDeploy is an open-source framework designed for high-throughput inference of Large Language Models (LLMs) and can be integrated with OpenAI-compatible applications, allowing for cost-effective deployment of custom models using affordable compute resources on platforms like Vast.ai. The setup involves configuring the environment with the Vast.ai API key, selecting a suitable machine with necessary specifications like a static IP and a modern GPU, and deploying a specific model using command line instructions. LMDeploy's superior performance, demonstrated through benchmarks against competitors like vLLM, ensures efficient handling of high traffic and cost reduction. Once deployed, the model can be queried via HTTP requests or integrated with the OpenAI SDK for seamless interaction, providing developers with a fast, reliable, and low-latency solution for deploying AI applications.
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