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Domino Data Lab

The Leading Enterprise MLOps Platform
Domino Data Lab Overview
For companies with large teams of code-first data scientists, Domino is an Enterprise MLOps platform that accelerates the process of developing and productionizing data science work, reduces the cost of supporting data science teams, and mitigates regulatory risk. Domino provides an integrated experience across the data science lifecycle, is tool and infrastructure agnostic, and supports enterprise-scale and complexity.
  • System-wide Features:
  • Teamwork and Collaboration
  • Enterprise Security
  • Governance
  • Enterprise Support
  • MLOps Features:
  • Data Acquisition
  • Data Versioning
  • Data Visualization
  • Data Preparation
  • Data Pipelines
  • Data Labeling
  • AutoML
  • Featurization
  • Feature Store
  • ML Pipelines or Workflows
  • Model Registry
  • Model Marketplace
  • Model Training
  • Distributed Model Training
  • Model Debugging
  • Experiment Management
  • Deep Learning Support
  • Reinforcement Learning Support
  • Bias Detection and Mitigation
  • Model Explainability
  • Hyperparameter Optimization
  • Model Packaging
  • Model Deployment and Serving
  • Edge ML Support
  • Model Monitoring
  • Cost Management
  • ML Infrastructure Orchestration
  • Accelerator Support
  • Kubernetes Support

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Additional Product Information
Product Links
Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • NVIDIA
  • Private Cloud or Datacenter
  • SaaS
Domino Data Labs Vendor Information
Vendor Overview
Domino powers model-driven businesses with its leading Enterprise MLOps platform that accelerates the development and deployment of data science work while increasing collaboration and governance. More than 20 percent of the Fortune 100 count on Domino to help scale data science, turning it into a competitive advantage.
Vendor Details
Year Founded
2013
HQ Location
San Francisco, California, United States
Ownership
Private
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