As an Advanced Tier AWS Consulting Partner, zeb is proud to introduce the Generative AI Migration Pathfinder program on the AWS Marketplace. This program is specifically designed for organizations seeking to migrate their existing generative AI applications from external providers, such as OpenAI, to AWS AI/ML services like Amazon Bedrock and/or Amazon SageMaker. Our AWS-certified experts will guide you through a comprehensive migration process, ensuring a seamless transition that aligns with your business objectives.

The Generative AI Migration Pathfinder program covers key focus areas essential for a successful migration to AWS, including:

• Migration Readiness Assessment: Evaluating the compatibility of your current generative AI applications with AWS services and identifying any necessary adjustments.

• Strategic Migration Planning: Developing a detailed migration plan that outlines the steps, timelines, and resources required for a smooth transition to AWS.

• Technical Optimization and Integration: Ensuring your generative AI applications are optimized for AWS and seamlessly integrated with existing applications and systems.

• MLOps Pipeline Adaptation: Adapting your MLOps pipeline for deployment, monitoring, and any applicable retraining, pretraining, or fine tuning of generative AI models within the AWS ecosystem.

Deliverables

Migration Assessment Report: A comprehensive report detailing the readiness of your generative AI applications for migration to AWS and outlining any recommended modifications.

Migration Roadmap: A customized plan detailing the strategy, milestones, and timeline for the migration process.

Technical Optimization Recommendations: Best practices and guidelines for optimizing your generative AI applications on AWS.

MLOps Pipeline Adaptation Plan: A plan for adapting your MLOps pipeline to support the deployment, monitoring, and retraining of generative AI models on AWS.

Future-state Architecture Diagram: A future-state architecture diagram outlines the planned technological framework and components (AWS) envisioned for implementation.

Estimating Total Cost of Ownership (TCO): Utilize our pre-configured AWS Pricing Calculator for precise projection of operational expenses linked with the proposed solution on AWS.

Proposal for Implementation Services: A proposal detailing the cost for zeb’s Professional Services teams to assist in the implementation effort.

Timeline

The assess and road mapping phase typically spans approximately 2 weeks, the implementation activities may require 4-8 weeks (depending on the scope, size of product and availability of your project sponsor and technical teams).

Next Steps

Our next steps involve conducting a thorough migration readiness assessment, developing a tailored migration plan, and providing expert guidance on integrating and optimizing your generative AI applications on AWS.