OpenAI Azure-to-AWS Migration Assessment
Plan your migration from Azure in under 2 weeks,100% funded by AWS.
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 as little as two weeks 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.
Why Plan with Loka
End the
Two-Cloud Tax
Consolidate billing, IAM, compliance and procurement into one AWS account. Stop paying for cloud overhead twice.
Keep your
OpenAI models
Run the same OpenAI models on Bedrock with AWS networking, KMS and a single audit trail.
Quantify
the Savings
Egress, dual licensing, and procurement overhead surfaced workload by workload, with hard numbers.
How It Works
Assessment
(3-5 days)
Inventory current Azure OpenAI usage, prompts, models, dependencies and egress flows. Map AWS-side data dependencies.
Benchmarking
(6-10 days)
Run your workloads against OpenAI on Bedrock. Measure cost, latency, feature parity, and integration with your AWS data services.
Migration Plan
(1-2 days)
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)
What Loka Delivers to You
Azure-to-AWS benchmark
Existing workload performance, cost and feature parity comparison: Azure OpenAI vs OpenAI on Bedrock.
Consolidation savings model
Egress, licensing, procurement and identity, quantified workload by workload.
Target AWS architecture + Go/No-Go
Target AWS architecture, security posture and a board-ready executive summary - with the option to rapidly migrate with Loka
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