XCV200E-8FGG456C
XCV200E-8FGG456C
Image shown is a representation only, Exact specifications should be obtained from the product data sheet.
rohs

AMD Xilinx

XCV200E-8FGG456C


XCV200E-8FGG456C
F20-XCV200E-8FGG456C
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, FBGA-456
FBGA-456

XCV200E-8FGG456C ECAD Model


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XCV200E-8FGG456C Attributes


Type Description Select
Pbfree Code Yes
Rohs Code Yes
Part Life Cycle Code Obsolete
Supply Voltage-Nom 1.8 V
Number of Inputs 284
Number of Outputs 284
Number of Logic Cells 5292
Number of Equivalent Gates 63504
Number of CLBs 1176
Combinatorial Delay of a CLB-Max 400 ps
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Temperature Grade OTHER
Package Shape SQUARE
Technology CMOS
Organization 1176 CLBS, 63504 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-PBGA-B456
Qualification Status Not Qualified
JESD-609 Code e1
Moisture Sensitivity Level 3
Operating Temperature-Max 85 °C
Peak Reflow Temperature (Cel) 250
Time@Peak Reflow Temperature-Max (s) 30
Number of Terminals 456
Package Body Material PLASTIC/EPOXY
Package Code BGA
Package Equivalence Code BGA456,22X22,40
Package Shape SQUARE
Package Style GRID ARRAY
Surface Mount YES
Terminal Finish Tin/Silver/Copper (Sn95.5Ag4.0Cu0.5)
Terminal Form BALL
Terminal Pitch 1 mm
Terminal Position BOTTOM
Width 23 mm
Length 23 mm
Seated Height-Max 2.6 mm
Ihs Manufacturer XILINX INC
Part Package Code BGA
Package Description FBGA-456
Pin Count 456
Reach Compliance Code unknown
ECCN Code 3A991.D
HTS Code 8542.39.00.01

XCV200E-8FGG456C Datasheet Download


XCV200E-8FGG456C Overview



The XCV200E-8FGG456C chip model is a powerful and versatile device that is suitable for a range of applications, such as high-performance digital signal processing, embedded processing, and image processing. It is designed to be used with HDL (Hardware Description Language) and is capable of handling complex tasks.


The XCV200E-8FGG456C chip model is an excellent choice for applications that require high-performance computing. It is capable of performing complex tasks quickly and accurately, making it ideal for a range of network applications. It is also suitable for use in intelligent scenarios, such as machine learning and artificial intelligence. With its powerful processing capabilities, the XCV200E-8FGG456C chip model can be used to power the next generation of intelligent systems.


The XCV200E-8FGG456C chip model has a number of features that make it an attractive choice for a range of applications. It is designed to be robust and reliable, and can be used in a variety of environments. It is also designed to be energy efficient, making it a cost-effective choice.


In addition to its technical specifications, the XCV200E-8FGG456C chip model also has a number of design requirements that must be met in order to ensure optimal performance. These requirements include the use of appropriate HDL language and the implementation of a number of specific design techniques.


To get the most out of the XCV200E-8FGG456C chip model, it is important to understand the design requirements and to ensure that the design is implemented correctly. There are a number of case studies and tutorials available that can provide guidance on how to use the chip model effectively. It is also important to take into account any potential risks and to ensure that the design is implemented in a safe and secure manner.


Overall, the XCV200E-8FGG456C chip model is an excellent choice for a range of applications, from high-performance digital signal processing to intelligent systems. With its powerful processing capabilities and robust design, the XCV200E-8FGG456C chip model is a great choice for a range of applications. It is important to understand the design requirements and to ensure that the design is implemented correctly in order to get the most out of the chip model.



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QTY Unit Price Ext Price
1+ $200.3447 $200.3447
10+ $198.1904 $1,981.9045
100+ $187.4192 $18,741.9228
1000+ $176.6480 $88,324.0040
10000+ $161.5683 $161,568.3000
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