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Description
Effortlessly switch between eager and graph modes using TorchScript, while accelerating your journey to production with TorchServe. The torch-distributed backend facilitates scalable distributed training and enhances performance optimization for both research and production environments. A comprehensive suite of tools and libraries enriches the PyTorch ecosystem, supporting development across fields like computer vision and natural language processing. Additionally, PyTorch is compatible with major cloud platforms, simplifying development processes and enabling seamless scaling. You can easily choose your preferences and execute the installation command. The stable version signifies the most recently tested and endorsed iteration of PyTorch, which is typically adequate for a broad range of users. For those seeking the cutting-edge, a preview is offered, featuring the latest nightly builds of version 1.10, although these may not be fully tested or supported. It is crucial to verify that you meet all prerequisites, such as having numpy installed, based on your selected package manager. Anaconda is highly recommended as the package manager of choice, as it effectively installs all necessary dependencies, ensuring a smooth installation experience for users. This comprehensive approach not only enhances productivity but also ensures a robust foundation for development.
Description
VirtuousAI presents an all-encompassing AI platform known as VirtueStack™, tailored to assist enterprises in swiftly adopting and expanding AI solutions. Prioritizing explainability, security, and user-friendliness, the platform empowers organizations to deploy AI models in a mere 90 days. It includes sophisticated tools for managing data, constructing knowledge graphs, and training models, all while maintaining transparency and adherence to regulations. Ideal for businesses at the beginning of their AI journey or those aiming to enhance their existing capabilities, VirtuousAI offers a complete solution that accelerates the path to value and optimizes overall business performance. This innovative approach not only facilitates rapid implementation but also fosters a culture of responsible AI usage within organizations.
API Access
Has API
No
API Access
Has API
No
Integrations
3LC
Yes
AI Squared
Yes
Amazon SageMaker Debugger
Yes
Amazon SageMaker Studio Lab
Yes
Cirrascale
Yes
Deeplake
Yes
Domino Enterprise AI Platform
Yes
EdgeCortix
Yes
GLM-5.1
Yes
Google AI Edge
Yes
Integrations
3LC
No
AI Squared
No
Amazon SageMaker Debugger
No
Amazon SageMaker Studio Lab
No
Cirrascale
No
Deeplake
No
Domino Enterprise AI Platform
No
EdgeCortix
No
GLM-5.1
No
Google AI Edge
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
PyTorch
Founded
2016
Website
pytorch.org
Vendor Details
Company Name
VirtuousAI
Founded
2020
Country
United States
Website
www.virtuousai.com
Product Features
Machine Learning
Deep Learning
No
ML Algorithm Library
No
Model Training
No
Natural Language Processing (NLP)
No
Predictive Modeling
No
Statistical / Mathematical Tools
No
Templates
No
Visualization
No
Product Features
Artificial Intelligence
Chatbot
No
For Healthcare
No
For Sales
No
For eCommerce
No
Image Recognition
No
Machine Learning
No
Multi-Language
No
Natural Language Processing
No
Predictive Analytics
No
Process/Workflow Automation
No
Rules-Based Automation
No
Virtual Personal Assistant (VPA)
No
