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Description
Modulus Data specializes solely in the integration of HR data, and it is our singular focus. We offer two types of prebuilt data connectors: turnkey connectors and custom connectors. Our turnkey connectors facilitate connections between HR software applications through direct API integrations. In instances where an application lacks an API, we can resort to scheduled file transfers as an alternative. Creating a custom integration with Modulus Data’s custom connectors is both quick and straightforward. Our team of experts handles all data mapping, ensuring that the connector is customized specifically for your business requirements. This means that there is no need for your internal IT team to be involved in the creation or upkeep of the integration. Most organizations find that a custom connector is necessary to accommodate their specific data field names and syntax needs. If your organization has implemented custom fields or modified data field names in the HR applications you wish to connect, a tailored data connector will be essential to fulfill your unique business specifications. Furthermore, this level of customization allows for seamless adaptability as your business grows and evolves.
Description
NVIDIA Modulus is an advanced neural network framework that integrates the principles of physics, represented through governing partial differential equations (PDEs), with data to create accurate, parameterized surrogate models that operate with near-instantaneous latency. This framework is ideal for those venturing into AI-enhanced physics challenges or for those crafting digital twin models to navigate intricate non-linear, multi-physics systems, offering robust support throughout the process. It provides essential components for constructing physics-based machine learning surrogate models that effectively merge physics principles with data insights. Its versatility ensures applicability across various fields, including engineering simulations and life sciences, while accommodating both forward simulations and inverse/data assimilation tasks. Furthermore, NVIDIA Modulus enables parameterized representations of systems that can tackle multiple scenarios in real time, allowing users to train offline once and subsequently perform real-time inference repeatedly. As such, it empowers researchers and engineers to explore innovative solutions across a spectrum of complex problems with unprecedented efficiency.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
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
Modulus Data
Country
United States
Website
www.modulusdata.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/modulus
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services