Edge Computing

Aug 19, 2026

Post-Train NVIDIA Cosmos 3 Edge for On-Device Robot Control

Robots need policies that can adapt to their sensors, environments, and tasks while running on onboard computing hardware. World models offer a foundation for...

10 MIN READ

Aug 17, 2026

Developing Nemotron 3.5 Lightning NVFP4 with QAD Using NVIDIA Model Optimizer

Teams customize their models to hit their targets for latency, speed, memory, and compute. With the open NVIDIA Nemotron family of models, developers can find...

18 MIN READ

Aug 11, 2026

NVIDIA JetPack 7.2.1 Adds Agentic Video Skills and T3000 Emulation

Video is a core data path across NVIDIA Jetson applications, from robotics and intelligent video analytics to industrial automation, healthcare, media...

7 MIN READ

Aug 10, 2026

Run Local Agentic AI Workflows with Meta's Muse Glimmer on NVIDIA

Meta returns to the open source ecosystem with the release of Muse Glimmer, a 30B open-weight dense model with a 120K+ context window built for local AI...

5 MIN READ

Jul 07, 2026

Maximize Spectral Efficiency with AI-Native RAN and NVIDIA AI Aerial

Spectrum is one of the most valuable assets in wireless communications. Over the last 30 years, telecom operators in the US have spent more than $240B to...

10 MIN READ

Jun 25, 2026

Scaling AI Inference Across Multiple GPUs Using NVIDIA TensorRT with Multi-Device Inference Support

Generative AI workloads are rapidly outgrowing the memory and compute budget of single GPUs. For inference developers building media generation pipelines, the...

11 MIN READ

Jun 22, 2026

Enable Real-Time AI for High-Speed Data Acquisition with DAQIRI

When AlphaFold2 revolutionized drug discovery in 2020, its success relied entirely on the roughly 170,000 protein structures collected by scientists since 1971...

10 MIN READ

Jun 22, 2026

Inside NVIDIA Halos for Robotics: A Full-Stack Functional Safety System for Physical AI

Physical AI—robots working autonomously alongside people in factories, warehouses, hospitals, and homes—is arriving faster than most expected. Traditional...

15 MIN READ

Jun 09, 2026

Model Quantization: Turn FP8 Checkpoints into High-Performance Inference Engines with NVIDIA TensorRT

This post is the third of a three-part series. See also Model Quantization: Concepts, Methods, and Why It Matters and Model Quantization: Post-Training...

10 MIN READ

Jun 09, 2026

Accelerating Federated Learning Research with AI Agents and NVIDIA FLARE Auto-FL

Federated learning (FL) research often begins with a deceptively simple question: What should we try next? A new aggregation rule, a FedProx coefficient, a...

10 MIN READ

Jun 02, 2026

Build Personal AI Agents on Windows PCs with New Tools from Microsoft and NVIDIA

AI agents are changing how you interact with your PC. Creators, developers, and AI enthusiasts are already using these agents extensively to assist with...

9 MIN READ

Jun 01, 2026

Deploy Agentic-Ready AI at the Edge with Memory Efficiency in NVIDIA JetPack 7.2

As AI agents move from the digital world to the physical environment, they can readily use NVIDIA Jetson to accelerate real-world deployment with optimized...

10 MIN READ

May 13, 2026

Accelerated X-Ray Analysis for Nanoscale Imaging (XANI) of Novel Materials

A massive-scale X-ray free-electron laser (XFEL) enables tracking structural and electron dynamics in novel systems, including fusion materials,...

11 MIN READ

May 07, 2026

Model Quantization: Post-Training Quantization Using NVIDIA Model Optimizer

This post is the second of a three-part series. See also Model Quantization: Concepts, Methods, and Why It Matters and Model Quantization: Turn FP8 Checkpoints...

8 MIN READ

May 05, 2026

How to Build In-Vehicle AI Agents with NVIDIA: From Cloud to Car

The automotive cockpit is undergoing a fundamental shift from rule-based interfaces to agentic, multimodal AI systems capable of reasoning, planning, and...

15 MIN READ

Apr 24, 2026

Federated Learning Without the Refactoring Overhead Using NVIDIA FLARE

Federated learning (FL) is no longer a research curiosity—it’s a practical response to a hard constraint: the most valuable data is often the least movable....

8 MIN READ