Specifications

Module

NVIDIA Jetson AGX Thor T4000 (64GB) / T5000 (128GB)

AI Performance

Up to 2,070 TFLOPS (FP4)

GPU

NVIDIA Blackwell Architecture GPU

CPU

ARM-based Grace CPU (exact core count TBA)

Memory

64GB or 128GB unified memory (built into module)

Storage

M.2 M-Key NVMe + M.2 B-Key NVMe

Networking

6× M12: 2× 2.5GbE + 4× 10GbE

PoE

Optional PoE on Ethernet ports

Camera

8× GMSL2 (Fakra-Z connectors)

Sensor Bridge

NVIDIA Holoscan Sensor Bridge support

Expansion

2× M.2 B-Key, 1× M.2 E-Key, Dual SIM, 4G/5G/WiFi/BT

Ingress Protection

IP66 — fully dust-tight, powerful water jets

Power

12–48V DC

Operating Temp

-20°C ~ 60°C (15/25W); up to 40°C at 40W

Certifications

UL, CE, FCC, EN50155 EMC, E-Mark

OS

NVIDIA DriveOS / JetPack (to be confirmed)

Overview

The Premio WCO-6000-THR represents the cutting edge of waterproof edge AI computing. Built around the next-generation NVIDIA Jetson AGX Thor platform, it delivers up to 2,070 TFLOPS of AI performance — over 7× the compute of Jetson AGX Orin — in a fully sealed IP66-rated chassis with M12 and Fakra-Z connectors throughout. It is purpose-built for autonomous mining trucks, maritime vessels, agricultural machinery, and any application where edge AI must operate outdoors under direct water exposure, dust, and extreme vibration.

With 6× M12 Ethernet (including four 10GbE ports), 8× GMSL2 via Fakra-Z, and NVIDIA Holoscan Sensor Bridge support, the WCO-6000-THR can ingest and process data from LiDAR, radar, high-resolution cameras, and other sensors simultaneously for real-time autonomous perception and decision-making. The IP66 sealing eliminates the need for protective enclosures, simplifying vehicle and outdoor installation.

Premio Inc. brings over three decades of rugged computing expertise to the WCO series, with full UL/CE/FCC/EN50155/E-Mark certification and global manufacturing support for mission-critical deployments.

Request a Quote — Premio WCO-6000-THR

QS Compute — NVIDIA Goldendisk Partner. Global B2B supply, 15-day sample lead time.

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