AGL125V2-QNG132I Allicdata Electronics
Allicdata Part #:

AGL125V2-QNG132I-ND

Manufacturer Part#:

AGL125V2-QNG132I

Price: $ 0.00
Product Category:

Integrated Circuits (ICs)

Manufacturer: Microsemi Corporation
Short Description: IC FPGA 84 I/O 132QFN
More Detail: N/A
DataSheet: AGL125V2-QNG132I datasheetAGL125V2-QNG132I Datasheet/PDF
Quantity: 1000
1 +: 0.00000
Stock 1000Can Ship Immediately
$ 0
Specifications
Series: IGLOO
Part Status: Obsolete
Number of Logic Elements/Cells: 3072
Total RAM Bits: 36864
Number of I/O: 84
Number of Gates: 125000
Voltage - Supply: 1.14 V ~ 1.575 V
Mounting Type: Surface Mount
Operating Temperature: -40°C ~ 85°C (TA)
Package / Case: 132-WFQFN
Supplier Device Package: 132-QFN (8x8)
Base Part Number: AGL125
Description

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Embedded Field Programmable Gate Arrays (FPGAs) are small computer chips used to help with the optimization of a wide variety of industrial tasks. The AGL125V2-QNG132I is a high-performance FPGA featuring a simplified design with a large memory capacity and efficient power consumption. This makes it well suited for many industrial and commercial applications.

The AGL125V2-QNG132I is designed to improve system performance, reduce system costs and ensure customer satisfaction. This is accomplished by providing economical designs and providing an efficient power distribution platform. The FPGA can be used for tasks such as data processing, image and video processing, communication, and system control. Its built-in calculations and processing capabilities enable it to be used in numerous applications.

AGL125V2-QNG132I has a variety of applications in the industrial and manufacturing sector, due to its durability, reliability, and versatile processing capabilities. It is commonly used in automotive, aerospace, industrial control and robotics, communications, and defense applications. Since it is a powerful, flexible, and cost-efficient tool, it is ideal for projects requiring complex calculations and processing, such as in medical engineering, image processing, artificial intelligence, machine learning, autonomous systems, and more.

The AGL125V2-QNG132I is a highly efficient FPGA that features a scalable processor core and a platform-independent hardware description language. This means it has the power to handle a wide range of tasks, while consuming a minimum amount of energy. The FPGA\'s high-level programming language enables users to custom design their own algorithms and functions that can then be mapped directly to the device. This ensures a high degree of flexibility and customization and makes it possible to quickly implement tasks in any application.

The AGL125V2-QNG132I uses a finite state machine (FSM) architecture to manage and control the processing of data in the FPGA. This architecture uses a series of logic gates to define the data flow paths and the order in which the data is processed. The FSM architecture is highly efficient due to its ability to process a variety of tasks, as well as its ability to quickly reconfigure itself in response to changing workloads. This makes it ideal for applications that require high performance and scalability.

The AGL125V2-QNG132I also features enhanced debugging capabilities, allowing users to easily troubleshoot and identify faults in their system. This improves system performance and prevents hardware and software issues. Additionally, the device provides advanced critical path analysis and traceability features, which help to improve the performance of a system while saving time and resources.

In summary, the AGL125V2-QNG132I is a powerful, versatile, and economical FPGA that can be used in many applications. Its built-in calculations, high-level programming language, and enhanced debugging features allow it to process complex tasks with minimal energy consumption. Additionally, its advanced critical path analysis and traceability features improve the speed and effectiveness of the system’s performance. The AGL125V2-QNG132I is an ideal choice for a wide range of industrial and commercial applications.

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

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