AI Workbench

Quickly organize projects and leverage best practices. AI Hub accelerates AI applications from project templates - prebuilt solutions curated from the best open source. A template defines all needed resources to jumpstart a project, state-of-the-art models, source code, environments, recommended infrastructure, and automation.

Domino offers one-click access to your preferred tools, languages, packages, and development environments such as Jupyter, JupyterLab, RStudio, SAS, VSCode, and MATLAB.

Easily access self-serve infrastructure, distributed compute clusters, CPUs, and GPUs that allow your team to focus on creating value instead of managing infrastructure.

Domino provides a choice of coding assistants that allow data scientists to automate and accelerate development tasks. You can generate, debug, and explain code using leading coding assistants like Jupyter AI and GitHub Copilot. Easily generate fine-tuning code and access the most popular foundation models right where you work.

Quickly find your best-performing models at the lowest cost with integrated AutoML. Save time and expense, automate training, and optimize for the best results with full code transparency, customizability, and reproducibility. Automate hyperparameter tuning at scale for predictive models and LLMs with automatically generated code and distributed processing using cutting-edge libraries such as RayTune.

Domino's scalable experiment management allows easy monitoring of training metrics with advanced reporting. It features automated insights for model training in popular ML frameworks and best-in-class open-source tools. Enhance collaboration with integrated search, experiment comparison, and team discussions.

With Domino, you can access, explore, analyze, and transform data. Automatically generate code for visualizations, dashboards, and more. Apply transformations such as filter, join, group, and aggregate data to create features rapidly. Share and reuse features from the Domino Feature Store.

Invite collaborators to your projects to share knowledge and best practices and to review work. Accelerate collaboration between scientists and non-technical stakeholders. Get started quickly on new projects with reusable templates or clone existing projects. Share a single definition of the truth for computing complex ML features with an integrated feature store. Built-in git integration and threaded discussions enable seamless collaboration.

The Domino Reproducibility Engine (DRE) automatically tracks and versions all data, code, development environments, models, results and more — for complete reproducibility. Rediscover and reuse past work effortlessly. Easily troubleshoot issues and ensure reproducibility for audit purposes.

Organize your data science and analytics work with Domino Projects. Projects provide a flexible and organized structure for your code, data, and artifacts. Use project templates to increase consistency, collaboration, and adherence to best practices.