OpenAI to Bedrock: Secure, Scalable GenAI Migration Services

Modernize Your GenAI Stack with Scalable, Cost-Effective, and Secure LLM Deployments on Amazon Bedrock

As the demand for Large Language Models continues to grow, businesses are increasingly seeking flexible, secure, and cost-optimized AI infrastructure solutions. Our "OpenAI to Bedrock Migrations" service is designed for organizations ready to transition from OpenAI-hosted models to the powerful and versatile Amazon Bedrock platform.

What We Offer We help you seamlessly migrate your GenAI and LLM workloads from OpenAI APIs to Amazon Bedrock, enabling long-term flexibility, control, and operational efficiency. Our end-to-end service includes:

● Migration Strategy & Assessment Evaluate your current OpenAI workload, usage patterns, and architecture to define the optimal Bedrock migration path.

● API Transition & Code Refactoring Rework your existing code to leverage Bedrock's standardized API and ensure parity in functionality and performance.

● Model Selection & Optimization Choose from 150+ foundation models including Anthropic Claude, DeepSeek, Meta Llama, Cohere, Mistral, and more—tailored to your use case.

● Cost and Performance Tuning Optimize for throughput, latency, and cost by leveraging Bedrock’s infrastructure and pricing flexibility.

● Model Fine-Tuning & Customization Implement custom training, prompt engineering, and fine-tuning strategies to meet domain-specific needs.

● Security, Compliance & Governance Integration Take advantage of AWS-native tools for access control, encryption, audit logging, and compliance alignment.

Amazon Bedrock vs OpenAI: Key Benefits

1. Multi-Model Flexibility

Bedrock supports 150+ models from leading providers like Anthropic (Claude), Meta (Llama), Stability AI, Mistral, Cohere, and AI21 Labs.

OpenAI offers only its proprietary models (GPT-4, GPT-3.5, etc).

Benefit: You can experiment and switch between models without changing your infrastructure or API integration.

2. Cost Control and Optimization

Bedrock offers granular pricing, including options for on-demand, provisioned throughput, and batch processing, making it easier to optimize for cost. Bedrock provides its novel Amazon Nova family which has a superior price structure.

OpenAI has fixed pricing tiers with fewer levers for optimization.

Benefit: Potential for significant cost reduction, especially for high-volume or production workloads.

3. Enterprise-Grade Security and Compliance

Bedrock is fully integrated with AWS security services. It incorporates opensource models, such as DeepSeek R1.

OpenAI operates as a SaaS with limited enterprise-level data isolation.

Benefit: Enhanced control over data, privacy, compliance.

4. No Model Training Data Retention

Bedrock does not retain or use your data for model training.

OpenAI has a default retention policy for API usage unless opted out (with Enterprise/Business tiers).

Benefit: Better data privacy and IP protection out of the box.

5. Model Customization Without Infrastructure

Bedrock supports custom model fine-tuning and prompt orchestration via built-in tools like Agents for Bedrock and Knowledge Bases.

OpenAI fine-tuning options are more limited and often require additional infrastructure for orchestration.

Benefit: Easier customization of models to your domain or workflows.

6. Vendor Neutrality

With Bedrock, you’re not locked into a single model provider or ecosystem.

OpenAI is a single vendor with a closed ecosystem.

Benefit: Strategic flexibility and future-proofing your GenAI stack.

7. Centralized Governance on AWS

Bedrock integrates directly with AWS IAM, CloudTrail, KMS, and VPC endpoints.

OpenAI lacks native integration with enterprise-grade governance controls.

Benefit: Unified control and compliance across your entire AI infrastructure.