For large-scale data processing, optimal performance depends not only on raw computing power, but also on high memory bandwidth. As a result, the new AMD Alveo™ V80 compute accelerator card is designed for memory-constrained applications with large data sets that require FPGA hardware flexibility for workload optimization. The Alveo V80 accelerator card, now in production, offers up to twice the bandwidth and compute density of the previous generation of accelerator cards, and provides a simplified development process for FPGA designers using the AMD Vivado™ design suite.

L0130AD L0130AE-0H The new acceleration card features a full-height, 3/4 length (FH¾L) dimension, powered by AMD Versal™ HBM Adaptive SoC, FPGA architecture with 2,600,000 LUT logic units, 10,848 DSP compute logic chips, and 820 GB/s memory bandwidth help overcome performance bottlenecks.

Compared to its predecessor, the AMD Alveo U55C compute acceleration card, the Alveo V80 has up to twice the logical density, up to twice the memory bandwidth, and up to four times the network bandwidth, enabling a powerful compute cluster while optimizing the number of cards, servers, and rack space.

Network-attached accelerator cards designed for large data sets and memory-intensive workloads

The hardware flexibility of the Alveo V80 card allows for a wide range of applications across different custom workloads. As a 4x200G network-attached acceleration card, the card can process large amounts of incoming data in real time, bypassing PCIe® connection limitations encountered by Gpus.

L0130AD L0130AE-0H The Alveo V80 accelerator card scales to hundreds of nodes over Ethernet for computing clustering, making it ideal for a range of high-performance computing applications, including genome sequencing, molecular dynamics, and sensor processing. In terms of network security, the built-in 400G encryption engine and 600G Ethernet hardblock, combined with the hardware flexibility of the FPGA, make the Alveo V80 accelerator suitable for line-speed packet detection and AI-supported anomaly detection.

The accelerator card is also ideal for computational storage and data analytics, with the ability to integrate compression and query acceleration on the same card to increase effective storage capacity while gaining faster insights. In addition, it is suitable for a variety of fintech applications, including strategy backtesting, option pricing, and financial modeling and simulation.