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ease
features
design
support

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Description

5G technology revolutionizes network personalization by allowing unprecedented control over the entire network experience. This advancement opens avenues for private networks, whether hosted on-site or through cloud services, which facilitate data ownership, enhanced security, application-specific customization, and varied performance through diverse radio technologies. As the reach of 5G grows, we are on the brink of a transformative phase marked by the rise of private and hybrid public/private networks. Many organizations are already taking proactive steps to enhance security, availability, and reliability in their operations. They can now process sensitive information either on-site or securely within the cloud. Additionally, organizations can assign varying security levels based on the application or geographical location. By managing data locally and in real-time, businesses can drastically reduce lag and latency, which is crucial for functions such as computer vision and quality control. Moreover, they can dynamically adjust quality of service (QoS), compliance standards, and user experience features throughout the network, tailoring the infrastructure to meet specific organizational demands. Overall, the integration of 5G is paving the way for a more agile and responsive approach to network management.

Description

NVIDIA PhysicsNeMo is a publicly available Python-based deep-learning framework designed for the creation, training, fine-tuning, and inference of physics-AI models that integrate physical principles with data, thereby enhancing simulations, developing accurate surrogate models, and facilitating near-real-time predictions in various fields such as computational fluid dynamics, structural mechanics, electromagnetics, weather forecasting, climate studies, and digital twin technologies. This framework offers powerful, GPU-accelerated capabilities along with Python APIs that are built on the PyTorch platform and distributed under the Apache 2.0 license, featuring a selection of curated model architectures that include physics-informed neural networks, neural operators, graph neural networks, and generative AI techniques, enabling developers to effectively leverage physics-based causal relationships together with empirical data for high-quality engineering modeling. Additionally, PhysicsNeMo provides comprehensive training pipelines that encompass everything from geometry ingestion to the application of differential equations, along with reference application recipes that help users quickly initiate their development workflows. This combination of features makes PhysicsNeMo an essential tool for engineers and researchers seeking to advance their work in physics-driven AI applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Advantech WebAccess/CNC
Alepo Digital BSS
Amazon Web Services (AWS)
Ciena Manage, Control and Plan (MCP)
Contrail Networking
Dell EMC Avamar
Google Cloud Platform
HCL Accelerate
HP-UX
Lenovo ThinkAgile HX Series
Netcracker
PalmLeaf
PyTorch
Python
Routee
VMware Cloud

Integrations

Advantech WebAccess/CNC
Alepo Digital BSS
Amazon Web Services (AWS)
Ciena Manage, Control and Plan (MCP)
Contrail Networking
Dell EMC Avamar
Google Cloud Platform
HCL Accelerate
HP-UX
Lenovo ThinkAgile HX Series
Netcracker
PalmLeaf
PyTorch
Python
Routee
VMware Cloud

Pricing Details

No price information available.
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

Casa Systems

Country

United States

Website

www.casa-systems.com/solutions/private-networks/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/physicsnemo

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Product Features

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