IoT

One of the new challenges arising with the use of edge, fog, and cloud architectures is the connection of components to each other and to the public cloud. An important element of developing a solution capturing all pieces is the IoT framework susietec

At the field, or edge level, data is collected by industrial computers, e.g. by gateways, which process, filter, analyze and act on these data in real-time right at the device.

Edge, fog and cloud applications demand increasing computing power. The interfaces to sensors or machines often require non-standard solutions. Especially in smaller machines, space is limited or restricted in some dimension and need a special solution.

Today, the connection from the sensor device to the embedded cloud takes place via real-time data communication, on sensor and edge level - for example Industrial Ethernet or fieldbuses - and gateways , which provide the transformation of real time data into the informational area.

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KBox A-151 EAI

Industrial Edge AI Platform with Integrated SiMa.ai Acceleration

Specifications

Physical AI Focused: Built for real-time, multimodal interaction with the physical world.
Integrated SiMa.ai MLSoC™ Modalix: 50+ TOPS of dedicated hardware AI acceleration
Scalable Architecture: Available with 13th Gen Intel® Core™ (RPL) or Intel Atom® (EKL)
Secure & Hardened: Fully integrated design with passive cooling for mission-critical reliability and Palette SDK and Edgematic™ Ready: Seamless deployment of complex, multi-sensor ML models for edge inference.

Download Datasheet

High-Performance Edge AI Computer for Multimodal Control & Autonomous Systems

The KBox A-151 EAI Series is a high-performance industrial edge AI platform engineered for multimodal control and autonomous systems. Built around the integrated SiMa.ai MLSoC™ Modalix, it delivers 50+ TOPS of dedicated AI acceleration for real-time video analytics, GenAI, LLM, LMM, and CNN workloads.

Its dual-processor architecture combines Intel® Core™ or Intel Atom® performance with deterministic AI inference, ensuring reliable separation of business logic and edge intelligence. Designed for mission-critical environments, the fanless, passively cooled chassis maximizes power efficiency without thermal throttling.

With support for multi-camera 4K video processing and a complete end-to-end vision pipeline, it enables high-fidelity analytics at the edge. Seamless deployment through the Palette™ SDK accelerates development using standard ML frameworks. Scalable memory, flexible I/O, and robust industrial certifications make it ideal for demanding edge applications.

Features

AI Accelerator

MLSoC - Modalix™
AI Performance - 50 TOPS (BF16), INT8, INT16
CPU / APU - 8‑Core ARM Cortex‑A65 @ 1.4GHz
CVU - 4‑Core Synopsys ARC EV74 video processor (up to 720 16‑bit GOPS)
ISP - ARM Mali-C71AE (supports 8-24 bit RGB/RGB-IR)
Video - Encode 4K@60fps (H.264, H.265, MJPEG); Decode 4K@60fps (H.264, H.265, MJPEG, AV1)
Memory - 32GB LPDDR5
Storage - 32GB eMMC

Processor

RPL Series - Processor: Intel® Core™ i7‑1365UE / i5‑1345UE / i3‑1315UE
RPL Series - Graphics: Intel® Iris® Xe Graphics or Intel® UHD Graphics 7680 × 4320 @ 60Hz
EKL Series - Processor: Intel® Atom™ x6425RE / x6211E / Celeron® J6413
EKL Series - Graphics: Intel® UHD Graphics 4096 × 2160 @ 60Hz
BIOS - AMI® Aptio® V5

Memory

RPL - Up to 64GB DDR5 (2× SO‑DIMM)
RPL - Up to 32GB DDR4 (2× SO‑DIMM)

Interface

EKL - 6× RJ45 ports
Ethernet - Direct‑to‑CPU: 2× 2.5GbE
Ethernet - Direct‑to‑Modalix: 4× 1.0GbE
USB - 4× USB (RPL Series: USB 3.2 Gen 2 | EKL Series: 2× USB 3.2 + 2× USB 2.0)
DisplayPort - 2× DisplayPort
Serial - 2× RS232 / 422 / 485 (via D‑Sub 9)
LED - Power On
Power Input - 3‑pin Phoenix connector

Storage

Processor to M.2 SSD - Up to 1TB (128GB, 256GB, 512GB, 1TB)
Processor to M.2 SSD - 1× M.2 2280 Key M (PCIe x4 NVMe)

Power

- 24 VDC (10–30 VDC input range)

Software Support

OS - Debian Linux, KontronOS, Windows 10 / 11 IoT Enterprise
SDK - SiMa.ai Palette™ SDK (C++ / Python / GStreamer) & LLiMA™ (GenAI Framework)

Mechanical

Chassis - Steel / Aluminum, Fanless design
Mounting - DIN Rail (Wallmount, Bookmount)
Dimensions - 7.09″ × 2.76″ × 4.84″ (180 × 70 × 123 mm)
Weight - Approx. 5 lbs (2.3 kg)

Environmental

Operating Temp - 0°C to +50°C (Standard), ‑40°C to +60°C (Extended)
Certifications - CE, UL 61010, FCC, CB, RoHS, REACH

Downloads

技术参数

KBox A-151 EAI Datasheet
[ kbox-a-151-eai_datasheet.pdf, 263.89 KB, Mar.04.2026 ]

参考手册

General Safety Instruction
[ general-safety-instructions.pdf, 560.72 KB, Dec.16.2025 ]

Tech Spec Sheet

Tech Specs K-Box
[ tech-specs_kbox.pdf, 6.05 MB, Nov.19.2025 ]

Services

Kontron Services Brochure
[ kontron-services-brochure.pdf, 8.9 MB, Dec.17.2020 ]

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