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 0 Ratings

Total
ease
features
design
support

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

Write a Review

Alternatives to Consider

  • Gemini Enterprise Agent Platform Reviews & Ratings
    961 Ratings
    Company Website
  • RunPod Reviews & Ratings
    206 Ratings
    Company Website
  • Fraud.net Reviews & Ratings
    56 Ratings
    Company Website
  • Bright Data Reviews & Ratings
    1,360 Ratings
    Company Website
  • Cloudflare Reviews & Ratings
    2,002 Ratings
    Company Website
  • Qloo Reviews & Ratings
    23 Ratings
    Company Website
  • Teradata VantageCloud Reviews & Ratings
    1,107 Ratings
    Company Website
  • myACI Reviews & Ratings
    481 Ratings
    Company Website
  • Axis LMS Reviews & Ratings
    5 Ratings
    Company Website
  • ClickLearn Reviews & Ratings
    67 Ratings
    Company Website

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 Data Lake
Hackolade
Harbr
Horovod
Kedro
Latitude
MXNet
Medical LLM
Microsoft Fabric
NLP Lab
Nucleon Database Master
PyTorch
QuerySurge
STRM
Sifflet
StarfishETL
Tabular
definity

Integrations Supported

Microsoft Azure
Azure Data Lake
Hackolade
Harbr
Horovod
Kedro
Latitude
MXNet
Medical LLM
Microsoft Fabric
NLP Lab
Nucleon Database Master
PyTorch
QuerySurge
STRM
Sifflet
StarfishETL
Tabular
definity

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

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

Deep Learning

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

Categories and Features

Big Data

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Popular Alternatives

Popular Alternatives

MXNet Reviews & Ratings

MXNet

The Apache Software Foundation
AWS Neuron Reviews & Ratings

AWS Neuron

Amazon Web Services