Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Ratings and Reviews 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

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

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    4.3 out of 5 stars 1,161 Ratings
    Company Website for Gemini Enterprise Agent Platform
  • Runpod Reviews & Ratings
    4.2 out of 5 stars 230 Ratings
    Company Website for Runpod
  • Anaconda Reviews & Ratings
    4.4 out of 5 stars 625 Ratings
    Company Website for Anaconda
  • Compute with Hivenet Reviews & Ratings
    5.0 out of 5 stars 4 Ratings
    Company Website for Compute with Hivenet
  • Fraud.net Reviews & Ratings
    4.6 out of 5 stars 56 Ratings
    Company Website for Fraud.net
  • Qloo Reviews & Ratings
    5.0 out of 5 stars 23 Ratings
    Company Website for Qloo
  • Bright Data Reviews & Ratings
    4.5 out of 5 stars 1,430 Ratings
    Company Website for Bright Data
  • myACI Reviews & Ratings
    4.7 out of 5 stars 481 Ratings
    Company Website for myACI
  • ReadyTech Reviews & Ratings
    Company Website for ReadyTech
  • iTacit Reviews & Ratings
    4.6 out of 5 stars 46 Ratings
    Company Website for iTacit

What is Horovod?

Horovod, initially developed by Uber, is designed to make distributed deep learning more straightforward and faster, transforming model training times from several days or even weeks into just hours or sometimes minutes. With Horovod, users can easily enhance their existing training scripts to utilize the capabilities of numerous GPUs by writing only a few lines of Python code. The tool provides deployment flexibility, as it can be installed on local servers or efficiently run in various cloud platforms like AWS, Azure, and Databricks. Furthermore, it integrates well with Apache Spark, enabling a unified approach to data processing and model training in a single, efficient pipeline. Once implemented, Horovod's infrastructure accommodates model training across a variety of frameworks, making transitions between TensorFlow, PyTorch, MXNet, and emerging technologies seamless. This versatility empowers users to adapt to the swift developments in machine learning, ensuring they are not confined to a single technology. As new frameworks continue to emerge, Horovod's design allows for ongoing compatibility, promoting sustained innovation and efficiency in deep learning projects.

What is Azure Databricks?

Leverage your data to uncover meaningful insights and develop AI solutions with Azure Databricks, a platform that enables you to set up your Apache Spark™ environment in mere minutes, automatically scale resources, and collaborate on projects through an interactive workspace. Supporting a range of programming languages, including Python, Scala, R, Java, and SQL, Azure Databricks also accommodates popular data science frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn, ensuring versatility in your development process. You benefit from access to the most recent versions of Apache Spark, facilitating seamless integration with open-source libraries and tools. The ability to rapidly deploy clusters allows for development within a fully managed Apache Spark environment, leveraging Azure's expansive global infrastructure for enhanced reliability and availability. Clusters are optimized and configured automatically, providing high performance without the need for constant oversight. Features like autoscaling and auto-termination contribute to a lower total cost of ownership (TCO), making it an advantageous option for enterprises aiming to improve operational efficiency. Furthermore, the platform’s collaborative capabilities empower teams to engage simultaneously, driving innovation and speeding up project completion times. As a result, Azure Databricks not only simplifies the process of data analysis but also enhances teamwork and productivity across the board.

Media

Media

Integrations Supported

Microsoft Azure
Azure Databricks

Integrations Supported

Microsoft Azure
Ango Hub
Azure Data Lake
Bluemetrix
Data Commerce Cloud
Databricks
Datagaps ETL Validator
EquityZen
Eureka
Evvox
Kyvos Semantic Layer
NLSQL
Nucleon Database Master
Nuvento
Prophecy
Protegrity
Sifflet
StarfishETL

API Availability

API Availability

Pricing Information

Free
Free Version

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub

Company Facts

Organization Name

Horovod

Company Website

horovod.ai/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/databricks/

Categories and Features

AI/ML Model Training

Not specified

Deep Learning

Not specified

Categories and Features

Big Data

Not specified

Popular Alternatives

Popular Alternatives

MXNet Reviews & Ratings

MXNet

The Apache Software Foundation
AWS Neuron Reviews & Ratings

AWS Neuron

Amazon Web Services
TimeXtender Reviews & Ratings

TimeXtender

4.0 out of 5 stars