TritonGPT Large Language Models (LLMs)

As commercial generative AI services continue to evolve, users are increasingly familiar with large language models (LLMs) from providers such as OpenAI and others. In response, the TritonGPT platform at UC San Diego now offers access to multiple LLMs, empowering users to choose the model best suited to their specific needs. To maintain the highest standards of data protection, all models are deployed through secure, institutionally governed infrastructure that ensures compliance, privacy, and robust security controls.

Llama

TritonGPT also integrates Meta's Llama, a dialogue-optimized, open-source LLM, which is hosted securely on-premises at the San Diego Supercomputer Center (SDSC).

By hosting the Llama model within SDSC's secure environment, UC San Diego retains full control over data usage and sharing. All processing occurs entirely within the university's infrastructure, ensuring institutional oversight and protection.

GPT-4o

Data shared with the Azure OpenAI Service remains private and secure. Microsoft operates this service entirely within the Azure AI Foundry environment, ensuring that user inputs and outputs are not shared with OpenAI or any other external entities. Additionally, this data is never used to train or enhance any models. The Azure OpenAI Service operates independently and does not interact with OpenAI-operated services.

Models accessed via Azure AI Foundry are configured to maintain full data residency within the United States.

Commitment to Privacy and Compliance

By leveraging Azure's secure infrastructure for cloud models and SDSC's on-premises hosting for open-source models, UC San Diego ensures that all data privacy, security, and compliance requirements are fully met.