XC2VP30-6FG676I Allicdata Electronics
Allicdata Part #:

XC2VP30-6FG676I-ND

Manufacturer Part#:

XC2VP30-6FG676I

Price: $ 0.69
Product Category:

Integrated Circuits (ICs)

Manufacturer: Xilinx Inc.
Short Description: IC FPGA 416 I/O 676FBGA
More Detail: N/A
DataSheet: XC2VP30-6FG676I datasheetXC2VP30-6FG676I Datasheet/PDF
Quantity: 1000
1 +: $ 0.69000
10 +: $ 0.66930
100 +: $ 0.65550
1000 +: $ 0.64170
10000 +: $ 0.62100
Stock 1000Can Ship Immediately
$ 0.69
Specifications
Series: Virtex®-II Pro
Part Status: Active
Number of LABs/CLBs: 3424
Number of Logic Elements/Cells: 30816
Total RAM Bits: 2506752
Number of I/O: 416
Voltage - Supply: 1.425 V ~ 1.575 V
Mounting Type: Surface Mount
Operating Temperature: -40°C ~ 100°C (TJ)
Package / Case: 676-BBGA, FCBGA
Supplier Device Package: 676-FCBGA (27x27)
Base Part Number: XC2VP30
Description

Due to market price fluctuations, if you need to purchase or consult the price. You can contact us or emial to us:   sales@allicdata.com

FPGAs, or Field Programmable Gate Arrays, are an invaluable tool in the embedded-systems landscape, offering great flexibility and reconfigurability. The XC2VP30-6FG676I is a prime example of an FPGA, and its applications and working principle are outlined below.

Application Field

The XC2VP30-6FG676I FPGA can be used in a wide variety of applications, ranging from robotics and automation systems to cryptography and video/audio processing. It is an ideal solution to those seeking a programmable, ultra-low power, high performance, and low cost solution. Additionally, it is capable of managing the communication requirements of wireless solutions, including Wi-Fi, Bluetooth, and WiMAX.

The XC2VP30-6FG676I is also well suited to embedded system solutions. It is capable of data capture, data conversion/conditioning, and analog interfaces. It offers a low-cost, low-power solution for system monitoring, especially when multiple tasks must be handled. Additionally, it can handle system management tasks and security features, giving users the flexibility and control that they need for high-performance embedded solutions.

The XC2VP30-6FG676I is a great choice for applications requiring advanced image processing, especially when data augmentation and complex vision analysis must be handled. Additionally, it can be used in vision systems which require real-time process management. This makes it a great choice for the artificial intelligence and machine learning applications which are becoming increasingly popular.

Working Principle

The XC2VP30-6FG676I features two main components: the FPGA fabric and the embedded microcontroller. The FPGA fabric is responsible for the processing and calculation side of the operation, allowing users to program and reconfigure the system. This includes the implementation of algorithms and dedicated processing structures, allowing for efficient operation.

The embedded microcontroller is responsible for system control, monitoring, and communication. It is capable of managing the complete system, handling requests from the FPGA fabric and the external environment. Additionally, it can ensure the efficient operation of the system, providing the power control, memory management, and system safety features that are needed.

The combination of these two components allows the XC2VP30-6FG676I to provide an efficient and low-cost solution for embedded systems. It is capable of executing tasks quickly and utilizes a low amount of power, making it ideal for efficient operation. Additionally, it is capable of handling most tasks which can be required, including image processing and complex vision analysis algorithms. This makes it a great solution for modern applications, especially those related to artificial intelligence and machine learning.

In summary, the XC2VP30-6FG676I FPGA is an invaluable tool for embedded system solutions. Its combination of reconfigurability and low power consumption allows it to handle a broad range of tasks and applications. Its features, such as its FPGA fabric and embedded microcontroller, make it the ideal solution for projects involving artificial intelligence, machine learning and more.

The specific data is subject to PDF, and the above content is for reference

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