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- In Stock: 6
- Manufacturer: Dell
- Model or Part: XR0K2
- Condition: Refurbished
- Weight: 3.00lb
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Item Condition
New - Sealed or Open Box ConditionExcellent - Almost-New, Missing Original Packaging
Refurbished - Seller Refurbished, Good Condition, Previously Used Item
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Overview
The Dell XR0K2 Mellanox ConnectX-4 100GB Dual Port Base-T Fh adapter delivers ultra fast, low latency Ethernet connectivity for modern data centers and high performance computing clusters. Designed to meet the demanding bandwidth requirements of cloud services, AI workloads, and large scale virtualization, this dual port network interface card (NIC) provides two independent 100Gbps ports in a single PCIe form factor. Its robust design ensures reliable operation under continuous heavy traffic while supporting advanced offload capabilities that free up CPU resources for critical applications.
Key Features
- Dual port 100Gbps Ethernet with Base-T Fh support
- PCIe Gen4 x8 interface for maximum throughput and minimal latency
- Hardware offload for RDMA, NVGRE, VXLAN and TCP/IP checksum
- Support for iWARP and RoCE v2 to accelerate storage and HPC traffic
- Integrated management through Dell OpenManage and Mellanox firmware tools
- Hot plug capability for seamless maintenance without system downtime
- Energy efficient design that reduces power consumption per gigabit transferred
Technical Specifications
- Model/Part Number: XR0K2
- Manufacturer: Dell
- Chipset: Mellanox ConnectX-4
- Port Type: Dual 100Gbps Base-T Fh (RJ45)
- PCI Express: Gen4 x8, backward compatible with Gen3 slots
- Supported OS: Linux distributions, Windows Server 2016 and later, VMware ESXi
- Offload Engines: RDMA, TCP/IP checksum, TLS, NVGRE, VXLAN
- Maximum Power Consumption: 30W (typical)
- Operating Temperature Range: 0 to 40 degrees Celsius
- Dimensions: Standard full height PCIe card, 6.5 inches length
Applications
- High performance computing clusters that require low latency interconnects
- Cloud infrastructure and virtualization platforms needing scalable bandwidth
- Artificial intelligence and machine learning workloads with large data transfers
- Enterprise storage networks using NVMe over Fabrics or iSCSI
- Financial trading systems where microsecond level response times are critical
- Large scale web hosting and content delivery networks (CDNs)
- Research institutions handling big data analytics and simulation tasks