Boosting Productivity with LLMs on AWS Inferentia2-Powered EC2 Inf2 Instances
Many organizations are building generative AI applications powered by large language models (LLMs) to boost productivity and build differentiated experiences. These LLMs are large and complex, and deploying them requires powerful computing resources, resulting in high inference costs. For businesses and researchers with limited resources, the high inference costs of generative AI models can be a barrier to entry into the market. Therefore, more efficient and cost-effective solutions are needed to overcome this challenge.
Most generative AI use cases involve human interaction, necessitating AI accelerators that can deliver real-time response rates with low latency. Additionally, the pace of innovation in generative AI is accelerating, making it challenging for developers and researchers to quickly evaluate and adopt new models to stay competitive in the market.
Getting Started with LLMs on AWS Inferentia2
One way to get started with LLMs such as Llama and Mistral is by using Amazon Bedrock. However, customers who want to deploy LLMs in their own self-managed workflows for greater control and flexibility of underlying resources can utilize LLMs optimized on top of AWS Inferentia2-powered Amazon Elastic Compute Cloud (Amazon EC2) Inf2 instances.
In this blog post, we will introduce how to use an Amazon EC2 Inf2 instance to cost-effectively deploy multiple industry-leading LLMs on AWS Inferentia2, a purpose-built AWS AI chip, helping customers to quickly test and open up an API interface to facilitate performance benchmarking and downstream application calls at the same time.
Model Introduction
There are many popular open-source LLMs to choose from, and for this blog post, we will review three different use cases based on model expertise using Meta-Llama-3-8B-Instruct, Mistral-7B-instruct-v0.2, and CodeLlama-7b-instruct-hf.
| Model name | Release company | Number of parameters | Release time | Model capabilities |
| Meta-Llama-3-8B-Instruct | Meta | 8 billion | April 2024 | Language understanding, translation, code generation, inference, chat |
| Mistral-7B-Instruct-v0.2 | Mistral AI | 7.3 billion | March 2024 | Language understanding, translation, code generation, inference, chat |
| CodeLlama-7b-Instruct-hf | Meta | 7 billion | August 2023 | Code generation, code completion, chat |
Meta-Llama-3-8B-Instruct is a popular language model released by Meta AI in April 2024. The Llama 3 model has improved pre-training, instant comprehension, output generation, coding, inference, and math skills. The Meta AI team believes that Llama 3 has the potential to usher in a new wave of innovation in AI.