Every Bytestock refurbished product completes a rigorous refurbishment process that includes full testing.
Our refurbished hardware offers extensive savings, typically anywhere from 30%-70% off the MSRP.
Every product from Bytestock is rigorously tested and verified before being made available to customers.
But,
for when faults do occur, we offer an industry-leading 5-year warranty on all non-consumable systems and
components.
We offer free shipping across the UK, with most orders delivered next-day, and
achieve worldwide two-working day delivery across 90% of international orders.
And for the most time-sensitive challenges, we offer same-day delivery options in the UK, dependent on order
time and availability.
We all change our minds from time to time. If you’re a non-business customer and you’re no longer sure about
your order you can return it to us within 14 days of delivery, no quibbles!
If you require any additional options for the Dell Mellanox ConnectX-5 Dual Port 25GB SFP28 Full Height Network Card - TDNNT
The Dell Mellanox ConnectX-5 Dual Port 25GB SFP28 Full Height Network Card, identified by part number TDNNT, is a network adapter specifically engineered to cater to the demands of data-intensive and high-bandwidth applications. The network card under consideration is equipped with two 25-gigabit Ethernet ports, each of which is furnished with an SFP28 connector. Consequently, the network card is capable of delivering a combined aggregated bandwidth of up to 50 gigabits per second. The card utilises Mellanox's ConnectX-5 technology, which incorporates several advanced functionalities including RDMA (Remote Direct Memory Access), NVMe over Fabrics, and offloading capabilities. These features contribute to improved network and storage performance, while simultaneously reducing CPU utilisation. The full-height form factor of this product makes it compatible with standard server chassis and offers dependable connectivity for applications that necessitate rapid data transfer, minimal delay, and effective network processing. This option is deemed appropriate for contemporary data centres, cloud environments, and high-demand workloads.
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