Ai Embedded

NXP i.MX 9 Series Explained: Powering Next-Generation Embedded & Edge AI Applications Introduction The embedded systems landscape is evolving rapidly. Industries today require higher compute performance, energy efficiency and AI-driven intelligence at the edge. NXP’s i.MX 9 Series is engineered to meet these demands-combining cutting-edge compute power, AI acceleration advanced security within a scalable, power-efficient

DeepStream: The Ultimate Framework for Real-Time Video Analytics Introduction In today’s AI-driven world, video data surrounds us-from surveillance cameras and autonomous vehicles to smart retail and industrial systems. The challenge? Processing this massive volume of visual data in real time and at scale. That’s where NVIDIA DeepStream SDK steps in. DeepStream is a GPU-accelerated streaming

Getting Started with NVIDIA VPI: From Concepts to Real Pipelines Introduction Building computer vision applications — whether for robots, drones, or smart surveillance systems — often involves repeating the same processing blocks: resizing, denoising, optical flow, and feature tracking. However, the real challenge lies in deciding which hardware should execute each operation efficiently. On NVIDIA

Exploring Earth from Space with EO Browser: Unlocking the Power of Satellite Data Introduction Satellite imagery has become a cornerstone of modern data intelligence-transforming how we monitor cities, forests, oceans and even air quality. From tracking urban expansion to assessing agricultural productivity, remote sensing provides insights impossible to gain from the ground. One of the

Best GPUs for LLM Training and Deployment in 2026 Introduction As we enter 2026, choosing the right GPU for training and deploying large language models (LLMs) has never been more critical. Model sizes are exploding into hundreds of billions of parameters, driving up memory, compute and bandwidth. What worked in 2025 no longer suffices –