XCVU33P-2FSVH2104E

The Virtex® UltraScale+™ XCVU33P-2FSVH2104E consists of three parts: a configurable logic block (CLB), an input-output block (IOB), and an interconnect. FPGA utilizes a small lookup table (16 × To implement combinational logic, each lookup table is connected to the input of a D-flip-flop, which in turn drives other logic circuits or I/O, forming a basic logic unit module that can achieve both combinational logic and sequential logic functions. These modules are connected to each other or connected to I/O modules through metal connections.

Features

XCVU33P-2FSVH2104E adopts the 2104-BBGA, FCBGA Surface Mount installation method, making its layout on the PCB board more compact, effectively reducing volume and weight, and facilitating integration and portable applications. It has gates and 208 inputs/outputs for signal transmission with external circuits, and their quantity directly affects the interface capability between XCVU33P-2FSVH2104E and external devices. At the same time, it also comes with 54960 LABs/CLBs and 961800 Logic Elements/Cells, possessing the ability to handle complex logic. Its Total RAM bits are as high as , reflecting its super strong storage capacity. Within the required power supply voltage range of 0.825V ~ 0.876V, XCVU33P-2FSVH2104E can also operate normally within a wide temperature range of 0°C ~ 100°C (TJ), making it suitable for various environments, especially some application scenarios with significant temperature changes.

AMD XCVU33P-2FSVH2104E The use of 2104-FCBGA (47.5x47.5) volume has guiding significance for PCB design and welding processes.

Application

● Data center

In the fields of network acceleration and high-performance computing in network devices and data centers, FPGA is also widely used, such as network accelerators, cloud computing accelerators, and storage controllers.

● Image processing

In the field of image processing, it is mainly used for applications such as high-speed image acquisition, real-time image processing, intelligent monitoring, and medical image processing, with the advantages of high speed and low power consumption.

● Embedded Systems

FPGAs are integrated into embedded systems for various applications, offering a combination of custom digital logic, parallel processing, and interfacing capabilities.Such as smart instruments, smart homes, etc.

● Video and Image Processing

FPGAs play a role in video and image processing applications, including video compression, image recognition, and multimedia devices.

● Artificial intelligence

In the field of artificial intelligence, FPGA is mainly used as an accelerator for matrix multiplication algorithms and an actuator for neural network accelerators, which can achieve low latency computation and high-performance computation.