Domino orchestrates all data science and agentic AI artifacts, including infrastructure, data, and services on AWS and across hybrid and multi cloud environments, adding critical governance capabilities to Amazon SageMaker AI and Amazon Bedrock AgentCore for enterprise code first teams.
Code first data science and AI teams get a flexible, collaborative, reproducible environment with self service access to AWS infrastructure and services, all within the governance IT needs.
Domino runs on Amazon Elastic Kubernetes Service (EKS). Domino is an AWS Advanced Technology Partner, with both ML and Financial Services competencies.
Remove DevOps barriers with pre-built data connectors for Amazon S3, Redshift, and all of your common sources. Improve performance, lower costs, and enhance security with AWS AI Chips, Inferentia and Trainium, in Domino.
Host on AWS: AWS-Certified
Get your team on Domino in hours with Domino Cloud on AWS, available on AWS Marketplace.
Alternatively, deploy Domino in a dedicated VPC in the AWS region of your choice, including GovCloud. Domino's Kubernetes-ready platform runs on Amazon EKS, providing field-tested deployment patterns for ease of management.
Domino is an AWS Machine Learning Competency Partner, validated since 2017.
Domino Data Lab is a founding member of the AWS Machine Learning Competency Partners, validated since 2017.
AWS has identified Domino as one of the key innovators in helping organizations extract real value from their data scientist investments.
Domino Data Lab is also an AWS Financial Services Competency Partner due to Domino's large footprint in banking, insurance, and algorithmic trading.
Deploy models directly from Domino into Amazon SageMaker AI for scalable, low latency hosting and agents built on Amazon Bedrock AgentCore for production ready agentic workflows.
Collaborate on and manage projects across teams. Orchestrate the AI stack, including multiple IDEs (Jupyter, R, SAS, MATLAB), packages, and compute frameworks (Spark, Ray, Dask, MPI). Industrialize AI with full reproducibility and shared best practices.
Pre-built Connectors: Seamless AWS Data Access
Instantly connect to popular data stores, including Amazon Redshift, S3, and others, with Domino Data Sources. Domino supports data access in the cloud, across multiple clouds, or on-prem, so your AI teams can innovate freely.
Get governed, secure access to foundation models on Amazon Bedrock through Domino's AI Gateway, with API key management, token usage controls, and full logging of prompts and model access for auditability.
Self-Serve Infrastructure: Automate DevOps
Use the tools and packages of your choice, including Amazon SageMaker, Jupyter, RStudio, SAS, MATLAB, Anaconda, and more — with support across compute frameworks (i.e., Spark, Ray, and Dask).
Abstract away DevOps complexity so your data scientists can focus on innovation. Provide self-serve, easy access to Amazon EC2 machines, including AWS Inferentia and AWS Trainium, to run experiments faster to accelerate model development.
Models Anywhere: Flexible Deployment
Give AI teams flexibility to run inference workloads cost effectively with seamless deployment from Domino to Amazon SageMaker AI for scalable, low latency hosting.
Access models from SageMaker AI, with Domino's governance and model monitoring layered on top.
Amazon SageMaker AI services and features complementary to Domino Data Lab: Data Wrangler, Batch Transform, Data Labeling, Neo, Feature Store, Clarify, Serverless Inference, Asynchronous Inference.
Improve performance, lower costs, and enhance security with AWS AI Chips, Inferentia and Trainium, in Domino.
