Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 1 Rating

Total
ease
features
design
support

Alternatives to Consider

  • BAND Reviews & Ratings
    3 Ratings
    Company Website
  • Google Cloud Platform Reviews & Ratings
    61,066 Ratings
    Company Website
  • SCIKIQ Reviews & Ratings
    14 Ratings
    Company Website
  • Denodo Reviews & Ratings
    388 Ratings
    Company Website
  • OpenMetal Reviews & Ratings
    41 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    1,161 Ratings
    Company Website
  • StackAI Reviews & Ratings
    55 Ratings
    Company Website
  • TIMi Reviews & Ratings
    68 Ratings
    Company Website
  • Creatio Reviews & Ratings
    589 Ratings
    Company Website
  • BoldTrail Reviews & Ratings
    2,126 Ratings
    Company Website

What is HyperLake?

HyperLake is specifically tailored for organizations poised to adopt a future where AI agents predominantly utilize their infrastructure. Unlike traditional enterprise infrastructures that primarily serve human users through dashboards, applications, and scheduled pipelines, AI agents operate in a distinct manner by querying data, leveraging tools, initiating workflows, producing artifacts, and interacting across multiple systems, which requires their ongoing access to curated compute resources, data, policies, and services. To accommodate this transformation, HyperLake provides a command center that simplifies the deployment, management, operation, security, and governance of this agent-focused infrastructure. The initial offering emphasizes Agentic Data Cloud Infrastructure, featuring an open-stack solution for data, analytics, semantics, workflows, and agent systems that can be implemented within the customer’s virtual private cloud, private cloud, or on-premises environments. By adopting this groundbreaking strategy, organizations are enabled to integrate AI agents seamlessly into their current frameworks, significantly boosting efficiency and flexibility in their operations. This not only streamlines workflows but also empowers organizations to innovate and respond more swiftly to market demands.

What is Domino Enterprise AI Platform?

Domino is a powerful enterprise AI platform built to help organizations develop, deploy, and manage AI systems at scale while delivering measurable business value. It provides a unified environment that supports the entire AI lifecycle, from data exploration and experimentation to deployment and monitoring. The platform enables self-service data science by giving users secure access to datasets, development tools, and scalable compute resources such as CPUs and GPUs. Domino supports a wide range of AI applications, including machine learning models, generative AI solutions, and agent-based systems. Its orchestration capabilities allow organizations to run workloads across hybrid, multi-cloud, and on-premises environments with flexibility and efficiency. The platform includes robust governance features, such as model registries, audit trails, and automated policy enforcement, ensuring transparency and compliance. It also tracks experiments and model lineage, providing a complete system of record for AI development. Domino enhances collaboration by enabling teams to share insights, tools, and workflows across the enterprise. Cost optimization tools help manage infrastructure spending through autoscaling and resource monitoring. The platform integrates seamlessly with existing enterprise systems and supports industry-standard tools and frameworks. With strong security certifications and compliance support, it meets the needs of regulated industries. Overall, Domino enables organizations to industrialize AI, reduce risk, and accelerate innovation while maintaining full control over their AI operations.

Media

No images available

Media

Integrations Supported

Integrations Supported

Amazon EC2 Trn2 Instances
Amazon SageMaker
Anaconda
Bitbucket
Dask
GitHub
GitLab
H2O.ai
Jira
JupyterLab
MATLAB
NVIDIA EGX Platform
NVIDIA HPC SDK
NVIDIA NGC
Okera
PyCharm
PyTorch
R
Snowflake
python-sql

API Availability

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Per user/per year
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

CerebrixOS

Date Founded

2023

Company Location

Canada

Company Website

www.cerebrixos.com

Company Facts

Organization Name

Domino Data Lab

Date Founded

2013

Company Location

United States

Company Website

www.dominodatalab.com

Categories and Features

Categories and Features

Agentic AI

Not specified

AI Cost Management

Not specified

AI Data Analytics

Not specified

AI Development

Not specified

AI Governance

Not specified

AI Infrastructure

Not specified

Data Management

Not specified

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Predictive Modeling
Statistical / Mathematical Tools

Popular Alternatives

Phinite Reviews & Ratings

Phinite

Phinite AI

Popular Alternatives

Mistral AI Studio Reviews & Ratings

Mistral AI Studio

Mistral AI