
Azure OpenAI vs OpenAI API: How to Choose for Enterprise Applications
Both give you access to OpenAI models. The difference is in security controls, networking, compliance, billing and how fast new models arrive.
Read the articleCloud Development
Applications built for the cloud from the start — and existing ones moved there carefully — with containers, automated pipelines and infrastructure your team can understand and operate.
.NET and Node.js applications designed for managed cloud services from day one.
App Service, Azure Functions, Azure SQL, Service Bus, Blob Storage, Key Vault and Azure OpenAI.
Containers, managed databases, object storage, queues and serverless functions on AWS.
Docker images for consistent builds across development, staging and production.
Automated test, build and deployment pipelines with GitHub Actions or Azure DevOps.
Move on-premises or VM-hosted applications to managed cloud services in stages.
From the blog

Both give you access to OpenAI models. The difference is in security controls, networking, compliance, billing and how fast new models arrive.
Read the article
Both clouds run .NET very well. Here is how their services map, where each has an edge, and how to choose for your product and team.
Read the articleBoth are capable. Azure is often the natural choice for .NET and Microsoft-centric organizations and for Azure OpenAI; AWS may suit teams already invested there. We work with whichever platform fits your organization.
Yes. We build pipelines in GitHub Actions or Azure DevOps that test, build container images and deploy to each environment automatically.
We can review resource sizing, scaling rules, storage and database tiers and recommend changes. We will not promise specific savings before we have looked at your usage.
Tell us what you are building, the stack you use and the capacity you need. We reply within one business day.