Specifications

AI Platform

NVIDIA Jetson AGX Thor

AI Performance (64GB)

Up to 1,200 TOPS

AI Performance (128GB)

Up to 2,070 TOPS

Memory Options

64GB or 128GB onboard

Camera Support

Up to 8x Orbbec Gemini 335Lg depth cameras, or up to 8x GMSL1/GMSL2 cameras

Ethernet

5x M12 10 Gigabit Ethernet with locking connectors

PTP Timing

Hardware IEEE 1588 precision time protocol support for sensor synchronisation

PoE

Power over Ethernet available on 4 of the 5 Ethernet ports

Industrial I/O

CAN, RS-232, RS-485, SPI-CAN and GPIO

Power Input

10 to 36 V DC

Protection Rating

IP65 sealed enclosure

Video

Advanced multi-stream encode and decode for simultaneous camera pipelines

Target Applications

Humanoid and service robots, AMRs, smart factory inspection

Integration Model

AI compute, high-speed networking, camera interfaces and industrial I/O consolidated on one unit

Overview

The TWOWIN T1530G is an edge AI computer built on NVIDIA Jetson AGX Thor, offered in 64GB and 128GB configurations rated at up to 1,200 and 2,070 TOPS respectively. It is aimed squarely at the physical AI category: humanoid and service robots, autonomous mobile robots, and intelligent machine-vision inspection on production lines.

What distinguishes it from a general-purpose Thor carrier is how completely the interfaces are integrated for a moving machine. The chassis carries five M12 10 Gigabit Ethernet ports — locking connectors, not RJ45, because a robot in motion will shake a latched plastic connector loose. Four of those ports supply PoE, so cameras and sensors are powered over the same cable, and the whole set supports PTP hardware timing, which is what lets multiple streams be fused into one consistent perception frame rather than approximate hand-alignment.

Camera support runs to eight sensors, either GMSL1/GMSL2 or Orbbec Gemini 335Lg depth cameras, with hardware multi-stream encode and decode handling the bandwidth. Alongside the networking sit CAN, RS-232, RS-485, SPI-CAN and GPIO, so motors, controllers and safety equipment connect directly instead of through adapters. Power is 10 to 36 V DC, and the enclosure is IP65.

The 128GB configuration is the one that matters for the emerging robotics software stack, where a vision-language-action model, a perception stack and a navigation stack may all be resident and running concurrently. Memory capacity rather than TOPS is usually the binding constraint in that scenario. QS Compute quotes both memory configurations alongside the Jetson AGX Thor module tiers and the GMSL2 camera ecosystem.

Key Benefits

Up to 2,070 TOPS from Jetson AGX Thor puts Blackwell-class compute on the robot rather than in a rack. 128GB configuration keeps VLA, perception and navigation models resident simultaneously. Five M12 10GbE ports with PTP and PoE give vibration-proof networking, sensor time sync and single-cable camera power. Eight GMSL2 or Orbbec cameras cover 360-degree perception. IP65 and 10-36 V DC input suit mobile platforms, outdoor sites and battery-powered machines. CAN, RS-485 and GPIO on board remove interface adapters from the design.

Applications

Humanoid and service robots; autonomous mobile robots in factories, warehouses and logistics centres; smart-factory defect inspection and product classification; production-line monitoring and intelligent machine vision; agricultural and outdoor autonomous machinery; research platforms for vision-language-action models.

Request a Quote — TWOWIN T1530G — IP65 JETSON AGX THOR ROBOT AI COMPUTER WITH 5X M12 10GBE

QS Compute — global B2B supply of AI computing hardware, edge AI systems and accelerators. Volume pricing, 15-day sample lead time.

Get Your Quote →

Related Products

TWOWIN T818 Jetson Edge AI Computer TWOWIN Jetson Edge AI Systems Connect Tech Jetson Thor Platforms Neousys NRU-160-AWP IP66 Jetson Computer