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What is NVIDIA Isaac?

NVIDIA Isaac serves as an all-encompassing platform aimed at fostering the creation of AI-based robots, equipped with a variety of CUDA-accelerated libraries, application frameworks, and AI models that streamline the development of different robotic types, including autonomous mobile units, robotic arms, and humanoid machines. A significant aspect of this platform is NVIDIA Isaac ROS, which provides a comprehensive set of CUDA-accelerated computational tools and AI models, utilizing the open-source ROS 2 framework to enable the development of complex AI robotics applications. Within this robust ecosystem, Isaac Manipulator empowers the design of intelligent robotic arms that can adeptly perceive, comprehend, and engage with their environment. Furthermore, Isaac Perceptor accelerates the design process of advanced autonomous mobile robots (AMRs), enabling them to navigate challenging terrains like warehouses and manufacturing plants. For enthusiasts focused on humanoid robotics, NVIDIA Isaac GR00T serves as both a research endeavor and a developmental resource, offering crucial tools for general-purpose robot foundation models and efficient data management systems. This initiative not only supports researchers but also provides a solid foundation for future advancements in humanoid robotics. By offering such a diverse suite of capabilities, NVIDIA Isaac significantly enhances developers' ability to innovate and propel the robotics sector forward.

What is NVIDIA DRIVE?

The integration of software transforms a vehicle into an intelligent machine, with the NVIDIA DRIVE™ Software stack acting as an open platform that empowers developers to design and deploy a diverse array of advanced applications for autonomous vehicles, including functions such as perception, localization and mapping, planning and control, driver monitoring, and natural language processing. Central to this software ecosystem is DRIVE OS, hailed as the inaugural operating system specifically engineered for secure accelerated computing. This robust system leverages NvMedia for sensor input processing, NVIDIA CUDA® libraries to enable effective parallel computing, and NVIDIA TensorRT™ for real-time AI inference, along with a variety of tools and modules that unlock hardware capabilities. Building on the foundation of DRIVE OS, the NVIDIA DriveWorks® SDK provides crucial middleware functionalities essential for the advancement of autonomous vehicles. Key features of this SDK include a sensor abstraction layer (SAL), multiple sensor plugins, a data recording system, vehicle I/O support, and a framework for deep neural networks (DNN), all of which are integral to improving the performance and dependability of autonomous systems. By harnessing these powerful resources, developers find themselves better prepared to explore innovative solutions and expand the horizons of automated transportation, fostering a future where smart vehicles can navigate complex environments with greater autonomy and safety.

Media

Media

Integrations Supported

Armada.ai
Broxi AI
Cognata
Echo AI
EyeFlow
Google Cloud GPUs
IREN Cloud
Kipps.AI
Massed Compute
Modelry
NVIDIA TensorRT
Netris
Paal AI
Polargrid
ReadyBase
SERA
Sporo
UltraDDoS Protect
VerifyAX
phoenixNAP

API Availability

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Not specified

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/isaac

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/self-driving-cars/drive-platform/software/

Categories and Features

Categories and Features

Autonomous Driving

Not specified

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