Scalable Model Inference on Amazon EKS

Example Use Cases

• 1

  Scalable and cost-effective model inference on cloud infrastructure.

• 2

  Integration with large language models and Agentic AI workflows.

• 3

  Unified API access and dynamic scaling of ML workloads.

Description

This solution provides a comprehensive platform for scalable ML inference using Amazon EKS with support for CPU, GPU, and AWS Inferentia instances. It enables deployment of large language models with Agentic AI capabilities such as Retrieval Augmented Generation and intelligent document processing. The architecture supports dynamic scaling, unified API gateway, and observability tools to optimize performance and cost.