Gen AI Well-Architected Framework

Overview

Kagen’s Well-Architected Framework for Generative AI and ML Workloads includes an end-to-end review and optimization process for your AWS-based AI solutions. This service is ideal for enterprises aiming to scale AI-driven applications while adhering to industry best practices. We thoroughly evaluate the architecture of your workloads across the five pillars of the AWS Well-Architected Framework—Operational Excellence, Security, Reliability, Performance Efficiency, and Cost Optimization. Our AWS-certified experts deliver customized recommendations to optimize your AI and ML workloads, empowering your business to scale.

Key Features

Well-Architected Review Sessions:

We conduct structured review sessions, examining each pillar of the Well-Architected Framework to identify areas for enhancement and potential risks. Security and Compliance Guardrails: Leveraging AWS Bedrock Guardrails, we implement security and compliance measures that safeguard your data and models, aligned with enterprise standards.

Performance Tuning for Generative AI Models:

Detailed analysis of your model architecture to enhance response times, reduce latency, and ensure reliable operations across workloads.

Cost Optimization Strategies:

Practical recommendations for managing costs without sacrificing performance, helping your team allocate resources effectively. Scalability and Resilience Planning: Architecting your AI and ML workloads to handle increased demand and evolving business needs, ensuring long-term resilience and adaptability.