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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Jumpstart your execution of typical Internet of Things (IoT) applications such as remote monitoring, industrial IoT (IIoT), predictive maintenance, and device simulation. Access all necessary cloud-based services and the corresponding application code to ensure a successful, efficient, and streamlined development and deployment process. Retain complete control over your solution’s architecture while customizing existing services to fit your specific requirements. Utilize a preconfigured dashboard for data visualization and establish rules to initiate actions via the user interface. Create and evaluate your IoT solutions on simulated devices by leveraging the device simulation solution accelerator. Perform realistic assessments by employing intricate device models that replicate authentic scenarios. Make use of the device simulation web application to set up and execute your simulations. Furthermore, connect and oversee your industrial assets using industry standards like OPC-UA through the Azure IoT connected factory solution accelerator, ensuring enhanced operational efficiency and insights. With these tools at your disposal, you can seamlessly integrate and optimize your IoT initiatives for better outcomes.

Description

NVIDIA Isaac Sim is a free and open-source robotics simulation tool that operates on the NVIDIA Omniverse platform, allowing developers to create, simulate, evaluate, and train AI-powered robots within highly realistic virtual settings. Utilizing Universal Scene Description (OpenUSD), it provides extensive customization options, enabling users to build tailored simulators or to incorporate the functionalities of Isaac Sim into their existing validation frameworks effortlessly. The platform facilitates three core processes: the generation of large-scale synthetic datasets for training foundational models with lifelike rendering and automatic ground truth labeling; software-in-the-loop testing that links real robot software to simulated hardware for validating control and perception systems; and robot learning facilitated by NVIDIA’s Isaac Lab, which hastens the training of robot behaviors in a simulated environment before they are deployed in the real world. Additionally, Isaac Sim features GPU-accelerated physics through NVIDIA PhysX and offers RTX-enabled sensor simulations, empowering developers to refine their robotic systems. This comprehensive toolset not only enhances the efficiency of robot development but also contributes significantly to advancing robotic AI capabilities.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon EC2
NVIDIA Brev
NVIDIA Cosmos
NVIDIA Isaac
NVIDIA Isaac Lab
NVIDIA Omniverse

Integrations

Amazon EC2
NVIDIA Brev
NVIDIA Cosmos
NVIDIA Isaac
NVIDIA Isaac Lab
NVIDIA Omniverse

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

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/features/iot-accelerators/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/isaac/sim

Product Features

Product Features

Simulation

1D Simulation
3D Modeling
3D Simulation
Agent-Based Modeling
Continuous Modeling
Design Analysis
Direct Manipulation
Discrete Event Modeling
Dynamic Modeling
Graphical Modeling
Industry Specific Database
Monte Carlo Simulation
Motion Modeling
Presentation Tools
Stochastic Modeling
Turbulence Modeling

Alternatives

Alternatives

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