ThinkSystem Mellanox Series
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ThinkSystem Mellanox ConnectX-6 Lx 10/25GbE SFP28 4XC7A62580 Ethernet Adapters
$203.58/pcs5 pcs (MOQ)Minimum Order Quantity Inquiry
**ThinkSystem Mellanox ConnectX-6 Lx 10/25GbE SFP28 Ethernet Adapter** delivers high-performance, low-latency 10/25GbE connectivity for data-intensive workloads. Key features include advanced RDMA/RoCE v2 support for efficient data transfer, PCIe 4.0 compatibility, and hardware offloads for virtualization, encryption, and storage. Optimized for cloud, AI, and enterprise environments, it reduces CPU overhead, boosts throughput, and ensures energy efficiency. Unique selling points: seamless scalability, ultra-low latency (under 600ns), and backward compatibility with SFP28 infrastructure, offering a future-proof, cost-effective upgrade for high-speed networking demands.
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Lenovo ThinkSystem Mellanox ConnectX-6 Lx 10/25GbE SFP28 2-Port OCP Ethernet Adapter
$Quote1 Piece (MOQ)Minimum Order Quantity Inquiry
**Lenovo ThinkSystem Mellanox ConnectX-6 Lx 10/25GbE SFP28 2-Port OCP Ethernet Adapter**
*High-speed, low-latency networking:* Delivers 10/25GbE dual-port connectivity via SFP28, ideal for bandwidth-intensive applications.
*Hardware-accelerated efficiency:* Features NVIDIA Mellanox’s ConnectX-6 Lx technology with advanced offloads (RoCE, NVMe-oF, TLS/IPsec), reducing CPU overhead and boosting performance for storage, virtualization, and AI workloads.
*Low latency/RDMA support:* Enables ultra-low latency communication with Remote Direct Memory Access (RDMA), enhancing application responsiveness and cluster scalability.
*Flexible OCP 3.0 design:* Hot-swappable, compact form factor optimizes power, cooling, and density in ThinkSystem servers.
**Benefits:** Increased data throughput, minimized latency, improved ROI through optimized resource utilization, and seamless integration into hyperscale and enterprise environments.
**Unique Selling Points:** Industry-leading energy efficiency, end-to-end data encryption offloads, and proven performance for cloud, storage, and machine learning infrastructures.


