HW-AFX-PQ240-110

The Xilinx model 'HW-AFX-PQ240-110' is a field-programmable gate array (FPGA) featuring 240K logic cells, 1,080 programmable I/Os, and a peak performance of 10.3 tera-operations per second (TOPS) for AI acceleration. The device is based on the Xilinx AI Engine architecture, which combines a deep learning processor unit (DPU), a vector processing unit (VPU), and programmable logic resources to enable efficient and flexible neural network inference.

The HW-AFX-PQ240-110 module is designed for high-performance computing applications such as embedded AI, industrial automation, and advanced driver-assistance systems (ADAS). It can be deployed on edge devices, cloud servers, or hybrid environments to accelerate inference tasks across a wide range of neural network models, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), and multi-layer perceptrons (MLPs).

In addition to AI acceleration, the HW-AFX-PQ240-110 module also offers advanced FPGA-based signal processing capabilities, such as high-speed serial transceivers, digital signal processing (DSP) blocks, and configurable I/O standards. It supports a variety of industry-standard interfaces, including PCIe, DDR4, Ethernet, and GPIO, allowing it to easily integrate with existing system architectures.

Overall, the Xilinx HW-AFX-PQ240-110 FPGA module is an ideal choice for developers who require high-performance AI acceleration and signal processing capabilities in a flexible and scalable platform. Its advanced features and robust design make it suitable for a wide range of applications in the field of embedded systems, industrial automation, and intelligent edge computing.