Xilinx unveils multi-function telco accelerator card

1 min read

Xilinx has unveiled the T1 Telco Accelerator Card for O-RAN distributed units (O-DUs) and virtual baseband units (vBBUs) in 5G networks.

According to Xilinx, the T1 card is the only multi-function PCIe form factor card which performs both O-RAN fronthaul protocols and layer 1 offload. With its advanced offload capabilities, the T1 card provides a significant reduction in the number of CPU cores required in a system.

The T1 card also enables the O-DU to deliver enhanced 5G performance and services while reducing overall system power consumption and cost compared to other competitive offerings.

The demand for O-DU and vBBU solutions is rapidly increasing because they provide an open and standard platform for a wide range of 5G services.

The T1 card is a small form factor, single-slot card that can be plugged into standard x86 or non-x86 servers to achieve the real-time protocol processing performance required for 5G virtualized O-DU platforms. In addition, it offloads line-rate and compute-intensive functions freeing the processor cores for running other services.

The T1 card simplifies 5G deployments by offering a turnkey solution through ecosystem partners that includes both O-RAN fronthaul and 5G NR layer 1 reference designs, as well as pre-validated software to enable operators, system integrators, and OEMs to get to market quickly.

The offloading of critical channel coding functions from the CPU to the T1 card delivers up to 45x encoding and 23x decoding throughput improvement relative to the same server without acceleration. The T1 card also enables the use of fewer CPU cores, driving down system cost and overall power consumption.

“The trend toward network virtualization and O-RAN has given us an opportunity with the Xilinx T1 Telco Accelerator Card to drive the next steps of disaggregation of standard networks, enabling our expansion into every corner of the 5G market,” said Dan Mansur, vice president of marketing, Wired and Wireless Group, Xilinx.