OpenAI to Bedrock Migration

Basis’ OpenAI to Bedrock Migration service is designed to help enterprises move their OpenAI models to the AWS Bedrock platform efficiently and securely. Leveraging AWS’s advanced infrastructure, Basis provides end-to-end support to ensure a seamless transition. From analyzing your existing OpenAI implementations to optimizing performance on AWS Bedrock, Basis handles every aspect of the migration process, minimizing disruption to your business while maximizing the benefits of Bedrock’s scalable AI capabilities. Our service also includes embedding and multimodal capabilities, allowing you to leverage a broader range of AI models and data types for enhanced outcomes.

Outline of Approach: (phases and timelines may vary based on use case and data)

Discovery (1-2 weeks): We begin by conducting in-depth technical workshops to assess your current OpenAI models, data pipelines, and business objectives. This helps us design a migration strategy that aligns with your AI goals and ensures a smooth transition to Bedrock.

• Conduct discovery sessions with key stakeholders to evaluate strategic opportunities and AI use cases.
• Assess existing OpenAI implementations, including model architecture, data pipelines, prompt usage, and potential for embedding and multimodal applications.
• Identify suitable Bedrock services and determine how they can enhance your existing AI models.
• Conduct a thorough cost analysis using the AWS Pricing Calculator to compare current OpenAI costs with projected Bedrock expenses.
• Develop a high-level migration roadmap and evaluate risks.

Migration Planning (1-2 weeks): Basis develops a detailed migration strategy, ensuring your AI models transition smoothly while maintaining performance and security.

• Create a comprehensive migration plan, covering all stages of the process.
• Define secure data transfer protocols and conversion strategies for prompts and models.
• Plan for minimal disruption by scheduling migration phases to align with business needs.
• Outline how to leverage Bedrock’s key features, including multimodal support, to enhance performance and reduce costs.

Conversion & Optimization (2-5 weeks): Our team converts your OpenAI prompts and models, optimizing them for compatibility with AWS Bedrock, focusing on performance, scalability, and multimodal capabilities.

• Convert OpenAI GPT prompts to Bedrock-compatible formats.
• Adapt models to leverage Bedrock’s infrastructure, optimizing for performance and scalability.
• Implement custom prompt engineering to enhance output accuracy and efficiency.
• Test models for compatibility and performance in the Bedrock environment.

Testing & Validation (1-2 weeks): Before the final deployment, we rigorously test the models and prompts in the Bedrock environment to ensure that they meet your performance and security requirements.

• Perform functional testing to ensure that all models and prompts, including multimodal applications, operate smoothly.
• Conduct security audits to ensure data protection and regulatory compliance.
• Run cost-efficiency tests to ensure that Bedrock reduces operational expenses.
• Iterate on prompt and model optimization based on testing feedback.

Knowledge Transfer & Post-Migration Support (1 week): Basis provides comprehensive documentation, training, and ongoing support to ensure your team is prepared to manage and scale the migrated models within Bedrock.

• Train your team on the management and optimization of Bedrock models.
• Provide detailed documentation, including operational guides and architecture diagrams.
• Ensure continuous optimization and issue resolution through real-time monitoring.

Target Customers for this Offering: Basis is ideal for forward-thinking companies seeking to explore the potential of generative AI for critical use cases, including those involving multimodal data and embedding. Our service helps organizations harness the capabilities of AWS Bedrock to accelerate innovation and achieve their AI-driven goals with precision and scalability.