Audience
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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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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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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Nemotron 3 Ultra
Nemotron 3 Nano is a compact, open large language model in NVIDIA’s Nemotron 3 family, designed for efficient agentic reasoning, conversational AI, and coding tasks. It uses a hybrid Mixture-of-Experts Mamba-Transformer architecture that activates only a small subset of parameters per token, enabling low-latency inference while maintaining strong accuracy and reasoning performance. It has approximately 31.6 billion total parameters with around 3.2 billion active (3.6 billion including embeddings), allowing it to achieve higher accuracy than previous Nemotron 2 Nano while using less computation per forward pass. Nemotron 3 Nano supports long-context processing of up to one million tokens, enabling it to handle large documents, multi-step workflows, and extended reasoning chains in a single pass. It is designed for high-throughput, real-time execution, excelling in multi-turn conversations, tool calling, and agent-based workflows where tasks require planning, reasoning, and more.
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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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Company Information
NVIDIA
Founded: 1993
United States
developer.nvidia.com/embedded-computing
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NVIDIA Jetson Frequently Asked Questions
Q: What kinds of users and organization types does NVIDIA Jetson work with?
NVIDIA Jetson works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does NVIDIA Jetson support in their product?
NVIDIA Jetson supports these languages: English.
Q: What kind of support options does NVIDIA Jetson offer?
NVIDIA Jetson offers support via phone support and online.
Q: What other applications or services does NVIDIA Jetson integrate with?
NVIDIA Jetson integrates with: CUDA, Flower, Photon, NVIDIA DeepStream SDK, NVIDIA Metropolis, NVIDIA TensorRT, and Solid.
Q: Does NVIDIA Jetson have an API?
Yes, NVIDIA Jetson has an API.
Q: What type of training does NVIDIA Jetson provide?
NVIDIA Jetson provides training in the form of documentation, live online, webinars, in person, and videos.
Q: Does NVIDIA Jetson offer a free trial?
Yes, NVIDIA Jetson offers a free trial.
