EKS AI Inference Guidance
Implement a comprehensive, scalable machine learning inference architecture on Amazon EKS for deploying Large Language Models (LLMs) with agentic AI capabilities, including Retrieval Augmented Generation (RAG) and intelligent document processing.
About
This solution provides a comprehensive and scalable platform for machine learning inference and agentic AI on Amazon EKS. It expertly leverages both cost-effective AWS Graviton processors for CPU-based inference and high-performance GPU instances for accelerated workloads, offering flexibility for diverse model deployments. The platform delivers an end-to-end environment for deploying Large Language Models (LLMs) with advanced agentic AI capabilities, including Retrieval Augmented Generation (RAG) and intelligent document processing, further enhanced by robust observability and monitoring tools to ensure optimal performance and operational transparency.
Key Features
- Comprehensive scalable ML inference architecture on Amazon EKS
- Leverages Graviton (CPU) and GPU instances for cost-effective and accelerated inference
- Provides an end-to-end platform for deploying LLMs with agentic AI capabilities
- Integrates Retrieval Augmented Generation (RAG) with OpenSearch for intelligent document processing
- Includes robust observability and monitoring with Langfuse, Prometheus, and Grafana
- 15 GitHub stars
Use Cases
- Building multi-agent systems for complex problem-solving
- Implementing intelligent document processing and analysis workflows
- Deploying Large Language Models (LLMs) with agentic AI
