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Description
Guidepad is a comprehensive platform designed to simplify the intricacies of contemporary software development by equipping teams with shared, reusable tools alongside a robust automation framework. By modernizing enterprise software development, we strike a balance between abstraction and customizable functionality, thus offering a unified solution for all stakeholders involved in software engineering, spanning data engineering and workflow automation. The platform includes a variety of essential toolsets and modular abstractions that allow users to define entity schemas, infrastructure, services, permission boundaries, and application programming interface operations as data, which facilitates a range of low-code/no-code interfaces. This innovative approach minimizes the need for engineers to construct individual system components, allowing them to engage in meta-level programming to design the entire system. Users can effortlessly create configurations using low-code/no-code methods, and the platform seamlessly translates these configurations into functioning software at runtime. Overall, Guidepad empowers development teams to focus on higher-level design rather than getting bogged down in the minutiae of coding, ultimately streamlining the entire software development process.
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.
API Access
Has API
API Access
Has API
Integrations
Activeeon ProActive
Amazon Web Services (AWS)
Azure Databricks
Flyte
Keras
MXNet
Microsoft Azure
PyTorch
Python
TensorFlow
Integrations
Activeeon ProActive
Amazon Web Services (AWS)
Azure Databricks
Flyte
Keras
MXNet
Microsoft Azure
PyTorch
Python
TensorFlow
Pricing Details
$1,000 per month
Free Trial
Free Version
Pricing Details
Free
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
Guidepad
Founded
2022
Country
United States
Website
www.guidepad.io
Vendor Details
Company Name
Horovod
Website
horovod.ai/
Product Features
Application Development
Access Controls/Permissions
Code Assistance
Code Refactoring
Collaboration Tools
Compatibility Testing
Data Modeling
Debugging
Deployment Management
Graphical User Interface
Mobile Development
No-Code
Reporting/Analytics
Software Development
Source Control
Testing Management
Version Control
Web App Development
Product Features
Deep Learning
Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization