XC7K480T-1FFG1156C _AD1988BJCPZ-03-RL Introduction

The Alveo U55C provides more computing power in a smaller form factor, helping to build dense clusters based on the Alveo accelerator. It is designed for high-density streaming data, high I/O math operations, and large computing problems that require scalable performance, such as big data analytics and AI applications.

The new Alveo U55C accelerator card is purpose-built for HPC and big data workloads and is the most powerful Alveo accelerator card Xilinx has ever built, with the highest compute density and HBM capacity in the Alveo accelerator portfolio.

XC7K480T-1FFG1156C _AD1988BJCPZ-03-RL

XC7K325T-1FBG676

XC7K70T-3FB484E XC7K160T-1FB676C XC7K160T-L2FFG676I XC7K325T-3FBG676E XC7K325T-L2FBG676E.

XC7K160T-2FBG484C XC7K160T-2FBG676E XC7K160T-2FBG676I XC7K160T-2FBG676LE XC7K160T-2FF676C.

XC7K325F-2FGG900C XC7K325I-2FFG900C XC7K325I-2FFG900I XC7K325KT-1FFG900I XC7K325T.

XC7K325T-3FBG900C XC7K325T-3FBG900I XC7K325T-3FF900C XC7K325T-3FF900E XC7K325T-3FF900I.

XC7K480T-1FFG1156C _AD1988BJCPZ-03-RL

AD1938WBSTZ

XC7K325T-2FFG900I XC7K325T-2FFG900I XC7K325T-2FFG900I XC7K325T-2FFG900I XC7K325T-2FFG900I.

XC7K325T-L2FB676E XC7K325T-L2FB900E XC7K325T-L2FB900I XC7K325T-L2FBG900E XC7K325T-L2FF676E.

XC7K32T-2FFG900I XC7K335T-2FF901I XC7K352T-FFG900ABX XC7K355T XC7K355T 2FF901I.

XC7K160T-3FBG676E XC7K160T-3FBG676I XC7K160T-3FF676C XC7K160T-3FF676I XC7K160T-3FFG676C.

XC7K480T-1FFG1156C _AD1988BJCPZ-03-RL

In order to achieve high-level autonomous driving, vehicle-grade solid-state LiDAR for vehicles has become the mainstream choice at present. One Path Technology has been developing and exploring the field of solid-state LiDAR since its establishment, and has developed the short-range ML-30S and Long-range ML-XS and other solid-state lidar products, among which, the short-range ML-30S is based on the Xilinx FPGA platform for algorithm deployment and implementation, and is currently the vehicle-grade solid-state lidar product with the largest field of view in the world.

In this way, we apply these advantages to all data centers on a large scale, which is a major advance in the wider application of Alveo and self-tuning computing in the data center field.

relevant information