XCV300E-8PQG240I
XCV300E-8PQG240I
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rohs

AMD Xilinx

XCV300E-8PQG240I


XCV300E-8PQG240I
F20-XCV300E-8PQG240I
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, FQFP, QFP240,1.3SQ,20
FQFP, QFP240,1.3SQ,20

XCV300E-8PQG240I ECAD Model


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XCV300E-8PQG240I Attributes


Type Description Select
Pbfree Code Yes
Rohs Code Yes
Part Life Cycle Code Obsolete
Supply Voltage-Nom 1.8 V
Number of Inputs 158
Number of Outputs 158
Number of Logic Cells 6912
Number of Equivalent Gates 82944
Number of CLBs 1536
Combinatorial Delay of a CLB-Max 400 ps
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Package Shape SQUARE
Technology CMOS
Organization 1536 CLBS, 82944 GATES
Clock Frequency-Max 416 MHz
Power Supplies 1.2/3.6,1.8 V
Supply Voltage-Max 1.89 V
Supply Voltage-Min 1.71 V
JESD-30 Code S-PQFP-G240
Qualification Status Not Qualified
JESD-609 Code e3
Moisture Sensitivity Level 3
Peak Reflow Temperature (Cel) 245
Time@Peak Reflow Temperature-Max (s) 30
Number of Terminals 240
Package Body Material PLASTIC/EPOXY
Package Code FQFP
Package Equivalence Code QFP240,1.3SQ,20
Package Shape SQUARE
Package Style FLATPACK, FINE PITCH
Surface Mount YES
Terminal Finish Matte Tin (Sn)
Terminal Form GULL WING
Terminal Pitch 500 µm
Terminal Position QUAD
Width 32 mm
Length 32 mm
Seated Height-Max 4.1 mm
Ihs Manufacturer XILINX INC
Part Package Code QFP
Package Description FQFP, QFP240,1.3SQ,20
Pin Count 240
Reach Compliance Code compliant
HTS Code 8542.39.00.01

XCV300E-8PQG240I Datasheet Download


XCV300E-8PQG240I Overview



The XCV300E-8PQG240I chip model is a powerful and reliable solution for high-performance digital signal processing, embedded processing, and image processing. It is designed to be programmed using the HDL language, which is a hardware description language used to create integrated circuit designs. This chip model offers numerous potential applications in the realm of networks and intelligent systems.


The XCV300E-8PQG240I is a powerful and reliable chip model that can be used for a variety of applications. It is designed to be programmed using HDL, which is a hardware description language used to create integrated circuit designs. The chip model is suitable for high-performance digital signal processing, embedded processing, image processing, and other applications. It has the ability to process data quickly and accurately, making it a great choice for applications that require real-time data processing.


The product description of the XCV300E-8PQG240I chip model states that it is an integrated circuit with a maximum power dissipation of 3.3W and a maximum operating temperature of 85°C. It is also equipped with an 8-bit microcontroller and a 16-bit multiplier. The chip model is capable of processing data at a high speed, making it suitable for applications that require real-time data processing.


The XCV300E-8PQG240I chip model can be used in a variety of applications, such as high-performance digital signal processing, embedded processing, image processing, and other applications that require real-time data processing. In addition, the chip model can be used in the era of fully intelligent systems, as it is capable of processing data quickly and accurately. It can be used in applications such as machine learning, AI, and robotics.


When using the XCV300E-8PQG240I chip model, it is important to consider the design requirements of the application. It is important to ensure that the chip model is able to meet the requirements of the application, such as the power dissipation, temperature, and other factors. Additionally, it is important to consider the actual case studies and precautions when using the chip model, as this will help to ensure that the application is successful.


In conclusion, the XCV300E-8PQG240I chip model is a powerful and reliable solution for high-performance digital signal processing, embedded processing, and image processing. It is designed to be programmed using the HDL language and is suitable for applications that require real-time data processing. It is also capable of being used in the era of fully intelligent systems, such as machine learning, AI, and robotics. When using the chip model, it is important to consider the design requirements of the application and the actual case studies and precautions.



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