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.
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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