Llama 2 on Amazon SageMaker a Benchmark

What changed

Deploying large language models (LLMs) and other generative AI models can be challenging due to their computational requirements and latency needs. In this benchmark, we evaluated varying sizes of Llama 2 on a range of Amazon EC2 instance types with different load levels. The DLC is powered by Text Generation Inference (TGI), an open-source, purpose-built solution for deploying and serving LLMs.

Why it matters

A concrete addition to Practical AI: Tools, Models & Frameworks: it changes what's available to builders today rather than being general commentary.

How it compares

Related prior coverage to compare against:

• Introducing the Hugging Face LLM Inference Container for Amazon SageMaker
• Introducing the Hugging Face Embedding Container for Amazon SageMaker
• Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker

• Introducing the Hugging Face LLM Inference Container for Amazon SageMaker similarity 0.49
• Introducing the Hugging Face Embedding Container for Amazon SageMaker similarity 0.48
• Deploy GPT-J 6B for inference using Hugging Face Transformers and Amazon SageMaker similarity 0.42