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    OpenAI to AWS GenAI Migration

     Info
    Migrating from OpenAI to AWS isn't just a shift in platforms; it's a strategic move toward scalability, flexibility, and enterprise-grade security. At Leapfrog, we don't just guide the transition — we architect it. Our deep expertise in GenAI workloads ensures a seamless migration experience that accelerates time-to-value while aligning with your long-term cloud and AI goals. We have a strong track record of successful transitions, delivering measurable results such as up to 66% cost reduction, 99.9% improvement in system uptime, and enhanced AI performance using AWS tools like Amazon Bedrock and SageMaker. Qualified customers can also access AWS funding, reducing risk and accelerating outcomes.

    Overview

    Leapfrog Technology enables a seamless and efficient GenAI migration from OpenAI environments to AWS, with minimal disruption to your existing operations. Whether through lift-and-shift, replatforming, or refactoring, our services are designed to align with your business goals while delivering the organizational, operational, and technical expertise needed for a successful, secure, and scalable transition. As an AWS Advanced Tier partner, we help eligible customers secure funding that lowers cost barriers and supports a faster, smoother migration.

    Key Activities:

    Phase I: Assessment

    We will conduct an initial assessment of your current OpenAI implementations, infrastructure, AI models, and operational workflows. This evaluation will provide us with a deep understanding of your business requirements, identify opportunities for improvement, and list the relevant AWS solutions tailored to your needs.

    Key deliverables: Existing OpenAI analysis report, GAP analysis and opportunity assessment

    Phase II: Mobilize

    We create a tailored migration plan based on your business needs, starting with a benchmark of your OpenAI setup against AWS offerings such as SageMaker and Bedrock. This includes evaluating the suitability of AWS-hosted models such as Amazon Titan, Claude (via Bedrock), and Nova, based on your use case alignment, cost-performance ratio, and privacy standards. We address any gaps identified in the assessment phase and evaluate your application portfolio using the seven common migration strategies: relocate, rehost, replatform, refactor, repurchase, retire, or retain. This results in a clear migration roadmap with defined opportunities for cost optimization, performance improvement, and enhanced security.

    Key deliverables: Migration roadmap, Benchmarking report, AWS solutions recommendations

    Phase III: Migrate & Review

    Following the migration roadmap, we prioritize workloads strategically, beginning with lower-risk, high-impact applications. Each workload is carefully designed, migrated, and validated through comprehensive testing to ensure performance, security, and cost-efficiency. We also ensure that all converted prompts run securely within your AWS environment, adhering to the highest standards of data protection. To support long-term success, we also enable your team to independently evaluate, experiment, and optimize the migration approach, ensuring alignment with evolving business needs.

    Key Deliverables: Prioritized workload migration plan, Migration execution and validation, Prompt deployment and enablement

    This ensures you are fully prepared for migration from OpenAI to AWS, equipped with the appropriate tools, streamlined processes, and the necessary skills to manage and operate your AWS environment effectively.

    Highlights

    • Proven Expertise: Leapfrog manages the full migration from OpenAI APIs to Amazon Bedrock, with minimal disruption and complete technical ownership.
    • Optimized for Cost, Security & Compliance: We design your Bedrock environment to cut costs, enhance governance, and follow AWS security best practices, including IAM, VPC isolation, and logging. This approach is proven to deliver up to 66% cost savings, 77% reduction in licensing, and 43% faster time to market.
    • End-to-End GenAI Enablement: Leapfrog ensures a smooth transition to scalable, production-ready LLMs on AWS with tailored model selection, integration, and tuning for faster time to value.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Custom pricing options

    Pricing is based on your specific requirements and eligibility. To get a custom quote for your needs, request a private offer.

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    Start your AWS journey today! For any inquiries, reach out to ai@lftechnology.com