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Description
Originally created by Uber, Horovod aims to simplify and accelerate the process of distributed deep learning, significantly reducing model training durations from several days or weeks to mere hours or even minutes. By utilizing Horovod, users can effortlessly scale their existing training scripts to leverage the power of hundreds of GPUs with just a few lines of Python code. It offers flexibility for deployment, as it can be installed on local servers or seamlessly operated in various cloud environments such as AWS, Azure, and Databricks. In addition, Horovod is compatible with Apache Spark, allowing a cohesive integration of data processing and model training into one streamlined pipeline. Once set up, the infrastructure provided by Horovod supports model training across any framework, facilitating easy transitions between TensorFlow, PyTorch, MXNet, and potential future frameworks as the landscape of machine learning technologies continues to progress. This adaptability ensures that users can keep pace with the rapid advancements in the field without being locked into a single technology.
Description
Streamline the process of API development across various interfaces with hug, allowing you to design and create your API once and then present it in the format that best suits your clients' needs, whether it's locally, via HTTP, or through command line access. Hug stands out as the quickest and most modern method for building APIs in Python3, as it has been meticulously crafted with a focus on performance. It efficiently utilizes resources only when absolutely necessary and leverages Cython for impressive speed optimization. Consequently, hug ranks consistently among the fastest frameworks for Python, undoubtedly earning the title of the quickest high-level framework available for Python 3. Additionally, hug simplifies the management of multiple API versions; you can easily indicate which version or range of versions an endpoint accommodates, ensuring that this is automatically enforced and communicated to users of your API. This capability enhances the flexibility and usability of your API, making it even more adaptable to client requirements.
API Access
Has API
API Access
Has API
Integrations
Python
Amazon Web Services (AWS)
Azure Databricks
Flyte
Keras
MXNet
Microsoft Azure
PyTorch
TensorFlow
Integrations
Python
Amazon Web Services (AWS)
Azure Databricks
Flyte
Keras
MXNet
Microsoft Azure
PyTorch
TensorFlow
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Horovod
Website
horovod.ai/
Vendor Details
Company Name
hug
Website
www.hug.rest/
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization