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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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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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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.
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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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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
Founded: 1993
United States
developer.nvidia.com/embedded-computing
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