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    Seamlessly Migrate Your GenAI Workloads to Amazon Bedrock

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    Are you currently leveraging OpenAI for your generative AI applications but looking for greater flexibility, choice, and control?

    Overview

    Enterprises face critical barriers with OpenAI-based solutions: vendor lock-in, unpredictable costs, latency, and compliance risks. Most GenAI prototypes never scale to production.

    How Amazon Bedrock Solves Your Challenges

    • Gain Flexibility & Control: Eliminate single-vendor lock-in with the right model for each use case.
    • Optimize Costs: Reduce AI spend with predictable, scalable infrastructure.
    • Ensure Enterprise Trust: Keep data within your AWS environment with built-in security and compliance.
    • Accelerate Time-to-Value: Move from prototype to production with low-latency, reliable GenAI.

    Our Migration Process

    We ensure a smooth, business-aligned migration journey in three phases:

    1. Discovery & Assessment: Analyze your Azure OpenAI environment, workloads, and costs to build a strong business case.
    2. Planning & Evaluation: Design & validate migration strategy through a Proof of Concept on Amazon Bedrock, benchmarking models, performance, and ROI.
    3. Migration & Enablement: Execute migration of applications and data, integrate AWS services, and enable your team with training and monitoring for ongoing success.

    Why Emumba?

    • Proven AWS Methodology: Structured, repeatable, and aligned with AWS best practices, backed by real-world experience migrating workloads from OpenAI to Amazon Bedrock.
    • Tailored & Optimized Outcomes: Customized solutions aligned to your business needs, ensuring you capture the full cost, performance, and scalability benefits of Amazon Bedrock.
    • Accelerated Adoption: Delivering production-ready AI faster and more reliably.

    Get Started

    Unlock the full potential of Amazon Bedrock. Contact us for a free consultation and start your seamless migration from Azure OpenAI to Amazon Bedrock today.

    Highlights

    • Achieve up to 70% reduction in AI costs with predictable and scalable infrastructure.
    • Improve latency by approximately 59% while ensuring enterprise-grade security and compliance on AWS.
    • Gain flexibility and control by eliminating vendor lock-in and choosing the right model for every use case.

    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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