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Average Ratings 0 Ratings
Description
The intricacies of data center infrastructure are on the rise, necessitating advanced solutions that enhance the simplicity of network management. With NVIDIA Air, users can achieve cloud-scale efficiency by generating precise replicas of actual data center setups. This innovative tool enables the modeling of data center environments with complete software capabilities, effectively creating a digital twin. By simulating, validating, and automating modifications and updates, organizations can transform and optimize their network operations. Users can create one-to-one virtual replicas of data centers featuring numerous switches and servers. Confidence in deployment is heightened through the automation of essential patches and security updates. Additionally, sharing simulations with team members fosters improved training and knowledge transfer among colleagues. The platform provides complimentary access to critical NVIDIA networking software via Air, which operates seamlessly in the cloud. It also supports the simulation of Cumulus Linux and SONiC network operating systems, along with the comprehensive NetQ network operations toolset, ensuring users have the necessary resources to manage their networks effectively. This capability not only enhances operational efficiency but also empowers teams to adapt and innovate in a rapidly evolving digital landscape.
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
NVIDIA Cumulus Linux
NVIDIA DRIVE
SONiC
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
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/networking/ethernet-switching/air/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
developer.nvidia.com/modulus
Product Features
Data Center Management
Audit Trail
Behavior-Based Acceleration
Cross Reference System
Device Auto Discovery
Diagnostic Testing
Import / Export Data
JCL Management
Multi-Platform
Multi-User
Power Management
Sarbanes-Oxley Compliance