Overview
Customers often struggle with fragmented GenAI architectures, vendor lock-in, and limited scalability. Many face challenges integrating disparate AI services (e.g. OpenAI, IBM Watson, Pinecone), managing unpredictable costs, and meeting security and compliance requirements. Inadequate prompt optimisation, underutilised vector stores, and limited reliability can further hinder performance and outcomes.
Migrating GenAI workloads to Amazon Bedrock helps address these pain points by offering significantly greater flexibility in GenAI solution development and enabling organisations to fully harness Bedrock’s secure, scalable, and cost-effective ecosystem.
Data Reply provides a structured approach to de-risk and optimise the migration process by offering relevant expertise and leveraging best practice frameworks and tooling supported by AWS Migration Acceleration Programme along all stages: Access, Mobilise, Migrate and Modernize
Highlights
- Choice, Flexibility & Operational Efficiency- access to multiple foundation models through a single API and reduces overhead by unifying AI services under AWS’s flexible, consumption based pricing model; tools for models’ customisation
- Enhanced Security, Compliance, Scalability & Performance - built-in guardrails and native integrations protect sensitive data and support regulatory compliance ; optimised infrastructure, prompt orchestration, built-in model evaluation and testing capabilities enable efficient scaling and consistent GenAIoutput quality
- Reduced risk and accelerated time to value - guided assessments , architecture blueprints and simplified deployment with serverless architecture ensures a smooth, low-risk, efficient transition into AWS Bedrock’s managed environment
Details
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