Hardware Tier

One click, unlimited computing power

Easily run your code on machines with up to 2TB of RAM and 100 cores, or specialized GPUs for deep learning. Run multiple experiments in parallel to iterate faster or run workloads over a Spark cluster with our first-class Spark support.

Stay on the cutting edge with the latest tools

Domino comes configured with an optimized scientific computing stack for work in Python, R, Julia, and more. When you want to use new techniques and methods, you can build your own custom environments with any packages you’d like as Docker images. Environments can be shared among your colleagues but safely sandboxed from others.

Domino Analytics Distribution
Research Hub & Reproducibility Engine

Version control designed for data science

Domino automatically tracks all your experiments, so you never lose work and can always reproduce your results. Unlike source control systems, Domino keeps code, data, parameters, results and environments all linked together, creating a central place for finding, sharing, reviewing, and discussing your most important work.

Self-service deployment and productionization

Building models is tough enough — deploying them shouldn’t be. Domino supports one-click publishing of your models as enterprise-grade REST APIs or hosted interactive Shiny apps. You can also schedule recurring jobs for model retraining, report generation, or ETL tasks

Domino Publication Bridge

Spotlight for Data Scientists