Generative AI
Build and scale generative AI applications with the latest, leading-edge technologies. Leverage APIs, vector databases, orchestration frameworks, and more from open-source and commercial offerings in Domino AI Hub.
An open, pluggable architecture which enables customers and partners to bring their preferred tools, data, and infrastructure — on-prem or any cloud — to a unified platform
Open Platform
Domino is an open, "pluggable" enterprise platform for data science, machine learning, and AI research.
Optimize Tools and Infrastruture
Domino works with industry-leading tools and technologies to accelerate AI development.
Innovate Rapidly
Stay ahead of rapid AI and GenAI innovations from the open-source community and commercial partners in the AI ecosystem.
Future-Proof AI
Embrace future innovations in data, languages, IDEs software packages, and compute infrastructure.
Any Languages or IDE
Domino is a flexible and extensible development environment. Choose any notebook. Code using your favorite open-source or commercial programming language. Leverage open-source and commercial tooling. Work in your preferred integrated development environment. And easily add your favorite tools with Domino's "pluggable" platform.
Software and Packages
Build and manage AI using your favorite packages and software to tackle any use case or application. At any stage in the AI development lifecycle, you can choose preferred packages, publishing frameworks, and integrated software solutions.
Data Platforms
Ensure robust, AI-ready datasets for training and fine-tuning. Securely connect to any source, including data warehouses, data lakes, databases, file stores, and more in the cloud, on-prem, or both. Minimize data movement and federate queries across regions while complying with data residency requirements.
Compute Infrastructure and Frameworks
Domino is cloud-agnostic and supports hybrid and multi-cloud deployments in any region. You can run workloads on your choice of compute clusters. Leverage leading distributed compute frameworks, deployment infrastructure, and hardware, including CPUs and GPUs.