Physical AI at the Edge: The Intel Robotics AI Suite on Core Ultra Series 3 Physical AI at the edge is moving artificial intelligence from screens and cloud services into machines that can sense, reason, and act in the real…
Optimizing Local LLMs for Real-Time Machine Vision on Edge AI Platforms AI-powered machine vision is moving beyond detection, classification, OCR, barcode reading, and defect inspection. The next step is adding local LLM intelligence that can help interpret inspection results, support…
Step-by-Step Guide: Connecting a NODKA iPAC to Ignition Perspective via OPC UA A complete SCADA deployment is more than just installing software. It involves the chain of components that lets a tag value travel from a physical input on the…
Ignition is software-centric and hardware-agnostic — but the platform choice still influences whether a SCADA system is reliable years into its lifecycle. This article shows how NODKA's IPC portfolio can be applied to the roles in a modern Ignition 8.3…
Not every AI-powered machine vision system needs a discrete GPU at every node. This article explains where discrete GPU-class acceleration still makes sense, where IPC-based vision nodes are often more practical, and how scale changes the hardware decision across a…
How Local VLMs Are Reshaping AI-Powered Machine Vision on Industrial PCs Article Key Points: Traditional machine vision still handles core inspection tasks best. Local VLMs add contextual interpretation to machine vision workflows. Edge deployment on industrial PCs makes local VLM…
NODKA NP-6135U-H1B Machine Vision Edge AI IPC Highlighted in Intel® Edge AI Catalog NODKA’s NP-6135U-H1B Machine Vision Edge AI Automation Industrial PC has been featured in the Intel® Edge AI Catalog as a high-performance industrial PC for edge inference, machine…
Modern charging systems need more than basic power control. This blog explains how industrial PCs help unify CAN communication, BMS integration, HMI, diagnostics, and gateway functions on one platform for scalable charging system design.
Automation machines often run for 10–15 years, while industrial computing platforms evolve much faster. This article explains how machine builders can lock an Industrial PC bill of materials (BOM) for long lifecycle deployments through processor selection, System‑on‑Module architecture, and lifecycle…
Industrial PC lifecycle and machine lifespan rarely align in industrial automation. While machines often remain in production for 10–15 years, computing platforms evolve much faster. This article explains why lifecycle mismatches occur and how automation OEMs manage component EOL, platform…
