by aws-solutions-library-samples · MCP Server · ★ 21
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 a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP
| Stars | 21 |
| Forks | 9 |
| Language | Python |
| Category | MCP Server |
| License | MIT-0 |
| Quality Score | 37.25/100 |
| 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.