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Mellanox MCX653106A-ECAT ConnectX-6 InfiniBand/VPI 2 x Ports 100Gb/s PCI Express 4.0 x16 Network Ada...
- 2 x 100Gb/s ports
- InfiniBand and VPI (Virtual Protocol Interconnect) support
- PCI Express 4.0 x16 host interface
- Designed for high-performance computing (HPC) and data centers
- Supports RDMA (Remote Direct Memory Access)
- Low latency and high throughput capabilities
- RoCE (RDMA over Converged Ethernet) v2 support
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Product Overview
The Mellanox MCX653106A-ECAT ConnectX-6 is a high-performance network adapter designed for demanding data center and high-performance computing environments. It features two 100Gb/s ports and utilizes a PCI Express 4.0 x16 interface for maximum bandwidth.
Technical Information
| SKU | MCX653106A-ECAT |
| Manufacturer | Mellanox |
| Product Type | Network Adapter |
| Ports | 2 x 100Gb/s |
Additional Specifications
| Interface | PCI Express 4.0 x16 |
| Technology | InfiniBand/VPI |
| Form Factor | PCIe Add-in Card |
Product Description
The Mellanox ConnectX-6 adapter, identified by SKU MCX653106A-ECAT, represents the cutting edge in high-speed networking technology. This adapter is engineered to meet the stringent demands of modern data centers, cloud environments, and high-performance computing clusters. It provides unparalleled performance with its dual 100 Gigabit Ethernet ports, enabling massive data transfer rates essential for data-intensive applications and large-scale analytics. Leveraging the PCI Express 4.0 x16 interface, the ConnectX-6 ensures a high-bandwidth connection to the host system, minimizing bottlenecks and maximizing the efficiency of data flow. Its support for both InfiniBand and VPI (Virtual Protocol Interconnect) offers exceptional flexibility, allowing it to be deployed in diverse network architectures. This dual-protocol capability simplifies infrastructure management and provides a clear upgrade path for organizations transitioning between technologies. Key features of the MCX653106A-ECAT include advanced RDMA (Remote Direct Memory Access) capabilities, such as RoCE (RDMA over Converged Ethernet) v2, which significantly reduce CPU overhead and latency by enabling direct memory access between nodes. This is crucial for applications requiring low latency and high message rates, such as distributed AI training, financial trading platforms, and scientific simulations. The adapter's robust design and advanced offload engines contribute to its overall efficiency and performance.