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Resources and Industry Insights
This resource and insight hub provides education, breaking news, our research, and more to benefit developers, corporate leadership, academics, marketing and business development professionals, and even those who are new to the concept of AI.
First Steps with the MediaTek Genio 700
Get started with the MediaTek Genio 700 by setting up the development environment, building a custom Yocto image, configuring debugging tools, and flashing the device for embedded AI development.
Joel Gomez Araya
6 hours ago7 min read
How to Convert Models to DLA for MediaTek Genio 700
Step-by-step guide to convert AI models from ONNX to DLA on the MediaTek Genio 700 using NeuroPilot, TensorFlow Lite conversion, quantization, and NPU deployment workflows.
Joel Gomez Araya
16 hours ago8 min read
Jev: The New Model Idea That Took the World by Storm
Jev does not chat. It turns language-model intelligence into fast, machine-readable decisions that software can use directly.
Michael Gruner
1 day ago7 min read
OpenAI DevDay 2026: Everything Announced
OpenAI DevDay 2026 introduced Dots, ChatGPT Space, GPT-6.1 Sol, new Codex capabilities, faster inference, agent APIs, and major updates for developers building AI-powered applications.
Michael Gruner
Sep 2911 min read
Using DeepStream Skills to Build a Multi-Camera Tracking and Alerting System
See NVIDIA DeepStream skills in action through a 12-camera AI tracking pipeline powered by RF-DETR. Explore multi-stream processing, AI inference, real-time tracking, and analytics for warehouse monitoring.
Michael Gruner
Sep 98 min read
RidgeRun.ai Shares Memory Optimization Best Practices to Run AI Models on NVIDIA Jetson
Learn practical techniques to reduce AI model memory usage on NVIDIA Jetson using TensorRT, FP16 and INT8 quantization, static input shapes, pruning, and other deployment optimizations, while improving inference performance.
Marco Madrigal
Aug 716 min read
The Winning Inference Framework to Run Generative AI Models on NVIDIA Jetson with Less Memory
Learn how to optimize memory on NVIDIA Jetson using quantization techniques and TensorRT to run AI and LLM models with lower GPU memory requirements.
Daniela Brenes
Aug 67 min read
Creating Your Own Environment in NVIDIA Isaac Lab and Isaac Sim: A Fundamentals Guide
Ready to build your own robot training environments? In this tutorial, you'll learn the fundamentals of creating custom NVIDIA Isaac Lab environments, from designing simulation worlds and configuring robots to training reinforcement learning agents in NVIDIA Isaac Sim. Follow a practical example and start bringing your robotics ideas to life.
Diana Mejias
Jun 913 min read
Run OpenAI GPT OSS on NVIDIA Jetson AGX Thor: 120B vs 20B
Running large language models at the edge is becoming practical as embedded platforms continue to scale in performance. In this post, we show how to run OpenAi's GPT-OSS-20B and GPT-OSS-120B models on the NVIDIA Jetson Thor, focusing on real, reproducible inference! Since these are open-weight models, they can be freely tested on different hardware, which makes it interesting to see how they behave beyond data-center systems. We already tried out the GPT-OSS-120B model on a N
David Monge
Feb 195 min read
Running RF-DETR with DeepStream on NVIDIA Jetson Thor
Running RF-DETR with DeepStream is a straightforward way to bring a modern, open-source detector into ready-to-use video analytics pipelines from DeepStream. In this post, we will show what RF-DETR is, how the DeepStream RF-DETR wrapper plugs into nvinfer, and the performance we measured on NVIDIA Jetson Thor, alongside a comparison point for the NVIDIA Jetson Orin AGX.
ridgerun
Feb 184 min read
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