OpenAI Azure-to-AWS Migration Assessment

Go from hybrid cloud to one cloud with better tooling, AI, and security. Your data, analytics, and apps may live on AWS while your AI lives somewhere else and straddling two clouds adds up: egress fees, dual billing, two identity systems, two compliance boundaries.

With OpenAI now GA on Amazon Bedrock, that split is no longer required. As an OpenAI launch partner with 500+ GenAI and Agentic launches since 2023, Loka delivers an assessment in one week that benchmarks your Azure OpenAI Service against OpenAI on Bedrock, sequences the data and prompt migration and quantifies, the consolidation savings. If the plan looks good, Loka can roll right into the full migration in most environments, under five weeks.

How It Works

Phase 1: Assessment | 2-3days Inventory current Azure OpenAI usage, prompts, models, dependencies and egress flows. Map AWS-side data dependencies.

Phase 2: Benchmarking | 3-4 days Run your workloads against OpenAI on Bedrock. Measure cost, latency, feature parity and integration with your AWS data services.

Phase 3: Move to Migration Per-workload migration roadmap with data migration plan, target AWS architecture and a quantified consolidation savings model. Executive Go/ No-Go.

Who Is This For

• Teams running Azure OpenAI Service in production with AWS infrastructure elsewhere
• Teams paying meaningful Azure-to-AWS egress fees today
• Finance teams asking for cloud consolidation
• AI roadmaps that benefits from AWS-native data services (S3, Redshift, OpenSearch)