Products Description

The 6-Port MATEnet Cable for NVIDIA Autonomous Platforms is a multi-port, high-speed Ethernet cable assembly specifically designed for NVIDIA's autonomous driving computing platforms. Utilizing MATEnet high-speed connectivity technology, it enables the parallel transmission of multiple data streams. One end features a TE Connectivity MATEnet 6-port (2×3) connector (Part No. 2333538-9, Z Code), while the other end terminates in six individual MATEnet male connectors (Part No. 2302461-9, Z Code).
This product facilitates the stable aggregation and transmission of data from multiple cameras, radars, and sensors, thereby ensuring the real-time performance and reliability of ADAS and autonomous driving systems. Featuring superior electromagnetic interference (EMI) immunity and an automotive-grade durable design, the PCM-ZC-0149 is widely deployed in intelligent driving domain controllers, in-vehicle computing platforms, and autonomous driving test systems, supporting highly integrated in-vehicle network architectures.

Specification
| Product Name | 6 Port MATEnet Cable for NVIDIA Autonomous Platform |
| Part No. | PCM-ZC-0149 |
| Cable Length | 0.2m |
| OD | 4.8mm |
| Wire | Leoni Dacar 647-4 |
| Connector A |
MATEnet Jack Z Code TE 2333538-9 |
| Connector B |
MATEnet Jack Z Code TE 2302461-9 |
Applications
1. ADAS : Facilitates high-speed data communication among sensors-such as forward-facing, surround-view, and rear-view cameras, as well as automated parking systems-enabling low-latency image transmission and real-time decision support for driving.
2. Autonomous Driving Sensor Systems: Enables the interconnection of multiple sensors-including LiDAR, millimeter-wave radar, and ultrasonic sensors-to achieve multi-source data synchronization and environmental perception fusion.
3. Autonomous Driving Domain Controller Systems: Connects ADAS ECUs and domain controllers, facilitating the high-speed aggregation and processing of sensor data within the central computing unit.
4. In-Vehicle Computing Platforms: Designed for in-vehicle AI platforms (such as NVIDIA DRIVE AGX) supporting high-bandwidth communication to meet the real-time computing demands of autonomous driving and AI applications.
5. In-Vehicle Ethernet Backbone Systems: Serving as the communication backbone for the entire vehicle's Ethernet network, this system facilitates multi-node data distribution and connectivity across zonal control networks, constituting a core component of the intelligent vehicle's electronic architecture.
Drawing

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