Edge AI Systems with NVIDIA RTX Pro graphics card

ASRock Industrial offers a powerful line of Edge AI Systems equipped with NVIDIA® RTX™ graphics cards and our Industrial Robust Edge AIoT platforms, including the iEPF-9030S Series, iEPF-9500S Series, iEPF-90X0S-EW4-L, iEPF-10000S Series, and iEPF-11000S Series. Designed for compute-intensive applications like machine vision, robotics, and automated inspection, these systems provide high-performance AI inferencing, real-time image processing, and seamless data transmission at the edge.

 
 

Featured Products

iEP-6010E Series Super Unlocks 2X Faster Edge AI with NVIDIA Jetson

The iEP-6010E Series now supports Super Mode on NVIDIA® Jetson Orin™ NX and Nano, doubling AI performance, up to 157 TOPS for vision AI, predicative maintenance, and autonomous systems. Its compact, rugged design with flexible I/O and efficient power modes makes it ideal for demanding edge AI deployments.

AGX Dev Kit Enables Industrial-Grade AI with Jetson AGX Orin Power

Featuring up to 275 TOPS, ASRock Industrial’s AGX Orin Dev Kit with NVIDIA® Jetson AGX Orin™ delivers high-performance AI in a durable, expandable platform. Ideal for prototyping and deployment in vision AI, robotics, and smart city applications.

 
 

Case Study
Empowering AI-Driven Smart Manufacturing for BAT with iEP-6010E and Shaman AI

British American Tobacco (BAT) partnered with Aimirim and ASRock Industrial to modernize its production environment, which previously relied on operator experience and traditional IEC 61131 control systems. This legacy setup led to inconsistent product quality, frequent unplanned downtime, and excessive material and energy waste. By integrating ASRock Industrial’s iEP-6010E Series Edge AI system powered by NVIDIA® Jetson Orin™ NX, with Aimirim’s Shaman AI agent and IEC 61499 architecture, BAT transformed its factory into a smart manufacturing facility. The solution structured sensor and event data, enabling real-time diagnostics through large language model (LLM) intelligence. As a result, BAT achieved more stable production quality, reduced downtime through early anomaly detection, and improved overall efficiency with a scalable, AI-ready infrastructure.