Specifications

Manufacturer

SINTRONES Technology Corp.

Series

VBOX-3650(P)-(M12X)

Product Class

In-vehicle edge AI computer

Platform

Intel Core Ultra Series 3 (Panther Lake)

CPU Options

Core Ultra X9 / X7 / X5

AI Acceleration

Integrated Intel NPU and GPU

LAN

1 × 2.5GbE uplink + 3 × 1GbE

USB

4 × USB

Serial

4 × COM

Digital I/O

DIO for sensors and peripherals

Vehicle Connectivity

M12X connectors (M12X SKU)

Certification

E-Mark · EN 50155

Design

Rugged, fanless, in-vehicle mounting

Target Systems

Autonomous and intelligent-transportation solutions

Announced

March 9, 2026

Overview

The SINTRONES VBOX-3650 series is an in-vehicle edge AI computer built on Intel Core Ultra Series 3 processors (Panther Lake) with an integrated NPU and GPU. The X9 / X7 / X5 options let a fleet integrator trade compute against power and cost within the same chassis, and the integrated AI engine keeps inference on the vehicle without a discrete accelerator card to mount, cool and power.

Connectivity is specified for rolling-stock and vehicle duty: one 2.5GbE uplink for the high-bandwidth link plus three 1GbE ports for cameras, LiDAR and other IoT devices, four USB ports, four COM ports for legacy vehicle buses and peripherals, and DIO for direct sensor and actuator wiring. The M12X variant uses vehicle-grade circular M12 connectors rather than RJ45 and standard USB, which is the difference between a computer that survives vibration and washdown in a vehicle and one that does not.

The series is certified to E-Mark for automotive EMC and EN 50155 for railway rolling-stock electronics, so it can be designed into vehicles and trains without a separate certification campaign. SINTRONES positions it for next-generation autonomous solutions and intelligent transportation. The series was announced on 9 March 2026.

Key Benefits

Latest-generation Panther Lake compute with an integrated NPU for on-vehicle inference, M12X vehicle-grade connectors instead of consumer I/O, dual E-Mark and EN 50155 certification covering both road vehicles and rail, and four COM plus DIO for integrating existing vehicle buses and sensors.

Applications

Autonomous and semi-autonomous vehicles, ADAS development platforms, intelligent transportation and roadside units, rail rolling-stock computing, fleet telematics with on-vehicle video analytics, and heavy-machinery operator assistance.

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