Tarjeta de red Intel I350T4V2BLK Interna Ethernet 1000 Mbit/s

The Intel I350T4V2BLK is an internal wired network card with a PCI Express host interface and up to 1000 Mbit/s Ethernet connectivity. Designed for server and workstation environments, it supports standard IEEE Ethernet protocols and provides features for efficient data transfer and virtualised deployments.

Advantages

The adapter supports iWARP/RDMA for low-latency direct memory access over Ethernet, PCI-SIG SR-IOV for native sharing of a single I/O resource among multiple virtual machines, and Intel® Ethernet Power Management for reduced idle power and improved energy efficiency. It also offers Flexible Port Partitioning to divide a physical port into multiple virtual devices and Virtual Machine Device Queues (VMDq) to offload I/O switching from the hypervisor, improving throughput and system performance.

Suitable for

• Server and workstation wired networking
• Virtualised environments with multiple VMs
• Low-latency applications requiring RDMA over Ethernet
• Energy-efficient data centre deployments

Key specifications

• Brand: INTEL
• Model: I350T4V2BLK
• Host interface: PCI Express
• Connectivity technology: Wired Ethernet
• Maximum data transfer rate: 1000 Mbit/s
• Supported standards: IEEE 802.3u, 802.3az, 802.3ab, 802.3z, 802.3, 802.1Q, 802.3x, 802.1as

How to use

Install the I350T4V2BLK into an available PCI Express slot on a compatible server or workstation motherboard. Connect Ethernet cables to the card’s ports and configure network settings in the operating system or hypervisor. For virtualised setups, enable SR-IOV or configure Flexible Port Partitioning and VMDq according to the server platform and BIOS/firmware requirements. Ensure drivers provided by Intel or the operating system vendor are installed and up to date.

Recommendations

Use this network card in systems with proper PCI Express lane availability and up-to-date firmware; enable power management features to reduce idle power and configure SR-IOV/FPP and VMDq when deploying multiple virtual machines to improve performance and bandwidth allocation.