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Developers, students, and enthusiasts wanting a solution for building and deploying AI-powered applications
About NVIDIA Jetson
NVIDIA's Jetson platform is a leading solution for embedded AI computing, utilized by professional developers to create breakthrough AI products across various industries, as well as by students and enthusiasts for hands-on AI learning and innovative projects. The platform comprises small, power-efficient production modules and developer kits, offering a comprehensive AI software stack for high-performance acceleration. This enables the deployment of generative AI at the edge, supporting applications like NVIDIA Metropolis and the Isaac platform. The Jetson family includes a range of modules tailored to different performance and power efficiency needs, such as the Jetson Nano, Jetson TX2, Jetson Xavier NX, and the Jetson Orin series. Each module is designed to meet specific AI computing requirements, from entry-level projects to advanced robotics and industrial applications.
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MPLAB Data Visualizer
Troubleshooting your code's run-time behavior has never been easier. MPLAB® Data Visualizer is a free debugging tool that graphically displays run-time variables in an embedded application. Available as a plug-in for MPLAB X Integrated Development Environment (IDE) or a stand-alone debugging tool, it can receive data from various sources such as the Embedded Debugger Data Gateway Interface (DGI) and COM ports. You can also track your application's run-time behavior using a terminal or graph. To get started with visualizing data, check out the Curiosity Nano Development Platform and Xplained Pro Evaluation Kits. Capture data streamed from a running embedded target via serial port (CDC) or the Data Gateway Interface (DGI). Concurrently stream data and debug target code using MPLAB® X IDE. Decode data fields at runtime using the Data Stream Protocol format. Visualize the raw or decoded data in a graph as a time series or display the data in a terminal.
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VxWorks
The World’s Leading Real-Time Operating System for the Intelligent Edge
For nearly 35 years, VxWorks has been used to ensure the security, safety, and reliability you need to design and build mission-critical embedded systems that simply must work.
VxWorks® is the industry’s most trusted and widely deployed real-time operating system (RTOS) for mission-critical embedded systems that must be secure and safe. It delivers a proven, real-time, and deterministic runtime combined with a modern approach to development. Regardless of industry or device type, companies building intelligent edge systems rely on the VxWorks pedigree of security, safety, high performance, and reliability.
VxWorks is a deterministic, priority-based preemptive RTOS with low latency and minimal jitter. It is built on an upgradable, future-proof architecture to help you rapidly respond to changing market requirements and technology advancements.
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NVIDIA Isaac
NVIDIA Isaac is an AI robot development platform that comprises NVIDIA CUDA-accelerated libraries, application frameworks, and AI models to expedite the creation of AI robots, including autonomous mobile robots, robotic arms, and humanoids. The platform features NVIDIA Isaac ROS, a collection of CUDA-accelerated computing packages and AI models built on the open source ROS 2 framework, designed to streamline the development of advanced AI robotics applications. Isaac Manipulator, built on Isaac ROS, enables the development of AI-powered robotic arms that can seamlessly perceive, understand, and interact with their environments. Isaac Perceptor facilitates the rapid development of advanced AMRs capable of operating in unstructured environments like warehouses or factories. For humanoid robotics, NVIDIA Isaac GR00T serves as a research initiative and development platform for general-purpose robot foundation models and data pipelines.
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NVIDIA Isaac Sim
NVIDIA Isaac Sim is an open source reference robotics simulation application built on NVIDIA Omniverse, enabling developers to design, simulate, test, and train AI-driven robots in physically realistic virtual environments. It is built atop Universal Scene Description (OpenUSD), offering full extensibility so developers can create custom simulators or seamlessly integrate Isaac Sim's capabilities into existing validation pipelines. The platform supports three essential workflows; large-scale synthetic data generation for training foundation models with photorealistic rendering and automatic ground truth labeling; software-in-the-loop testing, which connects actual robot software with simulated hardware to validate control and perception systems; and robot learning through NVIDIA’s Isaac Lab, which accelerates training of behaviors in simulation before real-world deployment. Isaac Sim delivers GPU-accelerated physics (via NVIDIA PhysX) and RTX-enabled sensor simulation.
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NVIDIA
Founded: 1993
United States
developer.nvidia.com/embedded-computing
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