by aws-solutions-library-samples · MCP Server · ★ 21
Cost Effective and Scalable Model Inference and Agentic AI on Amazon EKS Table of Contents Overview Architecture Architecture Steps Plan Your Deployment Cost Sample Cost Table Security Supported AWS regions Service Quotas Third party dependencies disclaimer Quick Start Guide Important Setup Instructions Important Notes Architecture Benefits Key Improvements Notices Overview This solution implements a comprehensive, scalable ML inference architecture using Amazon EKS with AutoMode, leveraging AWS Graviton processors for cost-effective CPU-based inference and GPU and AWS Inferentia instances...
| Stars | 21 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | MIT-0 |
| Quality Score | 56.8242118629319/100 |
| Open Issues | 4 |
| Last Updated | 2026-03-12 |
| Created | 2025-01-22 |
| Platforms | cli, mcp, python |
| Est. Tokens | ~11940k |
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guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks is Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides. It is categorized as a MCP Server with 21 GitHub stars.
guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks is primarily written in Python. It covers topics such as agentic-ai, agentic-workflow, huggingface.
You can find installation instructions and usage details in the guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks GitHub repository at github.com/aws-solutions-library-samples/guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks. The project has 21 stars and 9 forks, indicating an active community.
guidance-for-scalable-model-inference-and-agentic-ai-on-amazon-eks is released under the MIT-0 license, making it free to use and modify according to the license terms.