XCVU095-H1FFVA2104E

The XCVU095-H1FFVA2104E is a high-performance, low-power FPGA (Field-Programmable Gate Array) chip model from Xilinx. It is part of the Xilinx Versal ACAP (Adaptive Compute Acceleration Platform) series, and is designed for use in a wide range of application areas.

The XCVU095-H1FFVA2104E features a total of 9.5 million logic cells and a total of 1.2 million adaptive logic modules (ALMs). It has a maximum power consumption of 12.5W and a total on-chip memory of 32MB. It is also equipped with a range of I/O features, including PCIe Gen3 x16, USB3.0, Gigabit Ethernet, and HDMI.

The XCVU095-H1FFVA2104E is ideal for use in a variety of applications, such as artificial intelligence, machine learning, video and image processing, and high-performance computing. It is particularly well-suited for applications that require a high degree of parallelism, such as deep learning and neural networks. It also offers support for a range of popular AI frameworks, such as TensorFlow and Caffe.

In addition, the XCVU095-H1FFVA2104E is designed to be energy-efficient, with low power consumption and high performance. This makes it well-suited for use in embedded and mobile applications, where energy efficiency is a key concern.

Overall, the XCVU095-H1FFVA2104E is an excellent choice for a wide range of applications, offering high performance and low power consumption in a small form factor.