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Office of Information Technology

Gen AI Service Offerings

UT Dallas OIT makes a variety of private cloud services available to the University’s research and admin groups, including Microsoft Azure, Amazon Web Services and Google Cloud Platforms. 

Apps vary in function and scope of AI application, exploring the world of natural language processing (NLP), computer vision and generative AI as managed services. Selecting the best product for your use case depends on multiple factors, including cost, availability, existing projects, compatibility and expertise.

Available AI Services

Following acquisition of OpenAI, Microsoft has chosen to release new large language models as deployable services within Microsoft Azure subscriptions.

These tools are currently available for use by institutions with an Enterprise Agreement with Microsoft.

Available AI tools from Microsoft include: Azure Machine Learning, Azure OpenAI Service (ChatGPT, GPT4, GPT4.5); AI Speech, Language, and Vision; Cognitive Search and others. Find more details on the Azure OpenAI onboarding process.

Amazon Web Services provides highly available, scalable, flexible cloud-based computing services for many organizations and investigators for their ever-changing computing requirements. Amazon Bedrock is one of AWS’ fully managed services. It offers a choice of high-performing foundation models (like GPT-3) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, and Stability AI. AWS offers its own FM (Titan) as an available FM also. 

These foundational models generally provide application program interfaces (APIs) along with a wide variety of capabilities needed to build generative AI applications.

Request AWS services.

Amazon Bedrock can provide the end user with the ability to evaluate multiple foundational models for an investigator’s use case and supports the customization of those models with specific, customized, private data. Users can securely integrate and deploy generative AI tasks and solutions into existing applications using existing AWS services that may already be a part of active investigations.