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Average Ratings 0 Ratings
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
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
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
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