Brilliant words, brilliant writing: Using AWS AI chips to quickly deploy Meta LLama 3-powered applications

This article introduces how to cost-effectively deploy multiple large language models (LLMs) like Meta Llama-3-8B, Mistral-7B, and CodeLlama-7b on AWS Inferentia2 AI chips for high performance and low latency inference.

Specifically, the article covers:

• Overview of the three LLMs used (Meta Llama-3-8B, Mistral-7B, CodeLlama-7b)
• Solution architecture using a client-server model with HuggingFace components
• Key components: Optimum Neuron for model compilation, Text Generation Inference for serving, and HuggingFace Chat UI
• Step-by-step instructions to deploy the solution on AWS via CloudFormation
• Demonstration of the user interface and model switching capability
• Example API usage for inference and performance testing
• Conclusion on the benefits and future plans