Cyber Security Adapters

LREM3500TF-4T4S
PCIe x8 Quad-fiber & Quad-copper 1G Mezzanine Ethernet Network Adapter (Intel I350)

PCIe x8 Quad-fiber & Quad-copper 1G Mezzanine Ethernet Network Adapter (Intel I350)

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LREM3500TF-4T4S
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LREM3500TF-4T4S
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Overview Specifications Drivers Version Query

Product Overview

LREM3500TF-4S4T is a PCI Express x8 Quad-port copper & Quad-port fiber 1G mezzanine ethernet network adapter developed by Shenzhen Lianrui Electronics Co., Ltd. based on the Intel I350 main control solution. Waiting for data transmission, adapt to the non-stop operation 24/7.


The Intel I350 main control chip is adopted, which has a wide range of system compatibility and stability. Each network port has an independent Gigabit channel network port and works independently of each other.


Support 10/100/1000M speed transmission at the application site. In the Gigabit Ethernet connection, four gigabit ports can be allowed to work in full-duplex mode at the same time, and four network ports can be aggregated to increase network traffic bandwidth or any network port can be used for aggregation. Can save PCI Express channel resources in the space of 1U chassis.


Support the safe transmission of Gigabit optical fiber at the application site. In the Gigabit Ethernet connection, eight Gigabit fiber ports can be allowed to work in full-duplex mode at the same time, and four network ports can be aggregated to increase network traffic bandwidth or any network port can be used for aggregation. Can save PCI Express channel resources in the space of 1U chassis.


Technical Specifications

Complete technical details for integration and deployment planning.

VMware ESX/ESXi 4.x/5.x/6.x or later

LREM3500TF-4T4S - VMware ESX/ESXi 4.x/5.x/6.x or later Specifications
Bus Type PCI Express v2.1 (2.5GT/s & 5.0GT/s) x4(x8Connector
Jumbo Frames YES

Driver Downloads

Latest certified drivers for all supported operating systems, ensuring optimal performance and compatibility.

All OS 1 driver
Release_28.2.zip
vv28.2 2024-07-19

Version Identification & Query

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