Private LLM Serving on Amazon EKS for AWS Regulated Workloads

Aokumo's Private LLM Serving on Amazon EKS helps organizations deploy and manage private language models securely within their own AWS infrastructure. Our solution addresses the growing need for AWS customers to leverage LLM capabilities while maintaining full control over sensitive data and ensuring compliance with privacy regulations in regulated industries.

Our AWS-certified team designs and implements a secure, scalable LLM serving environment on Amazon EKS tailored to your specific use cases. We configure optimal serving architectures using Amazon EKS, AWS Inferentia/Trainium instances, and KServe for models like Llama, Mistral, or your custom fine-tuned models, with efficient resource allocation, caching strategies, and performance optimization within your AWS account.

The implementation includes secure model deployment pipelines with AWS CodePipeline, IAM access controls, monitoring with Amazon CloudWatch, and observability for LLM performance. Our approach ensures AWS customers can achieve high-performance inference capabilities while keeping all data within their AWS security perimeter. This solution is particularly valuable for financial institutions, healthcare organizations, and government agencies using AWS that handle sensitive information that cannot be exposed to external LLM services.