The  explosive growth of AI big models represented by ChatGPT, DeepSeek,  etc. poses a serious challenge to NICs, and the traditional NIC data  transfer rate, latency, and concurrent processing capacity have been  difficult to match the efficient demand of arithmetic clusters. Broadcom  and Mellanox 200G/400G high-speed NICs can break through the RDMA,  user-state protocol stack and other technologies to break through the  performance ceiling, but the trade war barriers, the original card price  increases, but users are trapped in the cost of cost control, long  delivery cycle, slow response to technical support triple predicament,  expensive hardware investment constraints on the scale of expansion.

In  order to solve the above problems, Shenzhen Lianrui Electronics Co.,  Ltd. launched a new AI server high-speed transmission network card  solutions. To meet the needs of customers in different industries on  different rates and interfaces, to ensure the efficiency and stability  of data transmission.

Advantages of Broadcom solution:

1、Ultra-high speed rate, total bandwidth up to 400G

2、Ultra-low latency, releasing CPU resources and improving transmission performance.

3、Ultra-high expansion, downward compatible with a variety of rates, reducing deployment complexity and maintenance costs.

4. Ultra-high energy efficiency, Fin+ heat pipe design to enhance passive cooling performance.

Advantages of Huawei's solution:

1. 100% localized design to meet CCTV's requirements.

2. 400/200G/100G/40G/25G multi-specification product selection.

3, security upgrade, support for state secret algorithm

4, support for GPU Direct function, to meet the needs of AI arithmetic clusters

In  short, Lianrui AI server high-speed transmission network card solution,  for the current situation of tariff barriers challenges, relying on the  advantages of the local supply chain to build a cost moat, to support  the sample 48 hours of high-speed delivery test, and to provide a  full-cycle technical escort from the program consulting, deployment and  commissioning to operation and maintenance optimization. With short  delivery cycle for batch orders, we can also provide performance tuning  support based on users' actual working conditions, which helps AI  computing performance to be upgraded comprehensively.