NVIDIA Jetson
AssessPlatforms
NVIDIA's edge AI computing platform for robotics, industrial, and embedded systems.
Why it's here
Placed in Assess: 3 article(s) of evidence from 2 source(s), led by product launches, with 1 in the last 30 days. Confidence 49%.
Evidence (3)
- 7Hugging Face Blog·10/7/2026model_releaseLiquid AI releases open multimodal d1 decision models for edge devices
Liquid AI has released two open decision models in its d1 family: d1-3B and the experimental d1-omni-600M. The models are designed for fast, structured decisions on edge hardware, with d1-3B supporting text and images and d1-omni-600M supporting text-image or text-audio inputs.
- 6Hugging Face Blog·7/21/2026researchAn Overview of Simulation for Physical AI
The article explains why simulation is becoming essential for physical AI and robotics, especially for generating training data, testing policies, and scaling experience collection beyond what is practical in the real world. It also describes a three-computer setup spanning training clusters, simulation systems, and edge deployment devices, and outlines how developers choose simulation engines based on fidelity, sensors, and task requirements.
- 8NVIDIA GenAI·6/2/2026product_launchNVIDIA Adds Agentic AI Support to Jetson Edge Platform
NVIDIA announced JetPack 7.2 and NemoClaw support for Jetson at COMPUTEX, bringing agentic AI capabilities to edge devices. The update adds Yocto support, CUDA 13 on Jetson Orin, MIG on Jetson Thor, and performance gains for Jetson AGX Orin 32GB, while enabling deployment of agentic workflows for robotics, inspection, and industrial automation.