XC5204-5TQG144I
XC5204-5TQG144I
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rohs

AMD Xilinx

XC5204-5TQG144I


XC5204-5TQG144I
F20-XC5204-5TQG144I
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, LFQFP
LFQFP

XC5204-5TQG144I ECAD Model


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XC5204-5TQG144I Attributes


Type Description Select
Pbfree Code Yes
Rohs Code Yes
Part Life Cycle Code Obsolete
Supply Voltage-Nom 5 V
Number of Equivalent Gates 4000
Number of CLBs 120
Combinatorial Delay of a CLB-Max 4.6 ns
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Package Shape SQUARE
Technology CMOS
Organization 120 CLBS, 4000 GATES
Additional Feature MAX AVAILABLE 6000 LOGIC GATES
Clock Frequency-Max 83 MHz
Supply Voltage-Max 5.5 V
Supply Voltage-Min 4.5 V
JESD-30 Code S-PQFP-G144
Qualification Status Not Qualified
JESD-609 Code e3
Moisture Sensitivity Level 3
Peak Reflow Temperature (Cel) 260
Time@Peak Reflow Temperature-Max (s) 30
Number of Terminals 144
Package Body Material PLASTIC/EPOXY
Package Code LFQFP
Package Shape SQUARE
Package Style FLATPACK, LOW PROFILE, FINE PITCH
Surface Mount YES
Terminal Finish MATTE TIN
Terminal Form GULL WING
Terminal Pitch 500 µm
Terminal Position QUAD
Width 20 mm
Length 20 mm
Seated Height-Max 1.6 mm
Ihs Manufacturer XILINX INC
Part Package Code QFP
Package Description LFQFP,
Pin Count 144
Reach Compliance Code compliant
HTS Code 8542.39.00.01

XC5204-5TQG144I Datasheet Download


XC5204-5TQG144I Overview



The XC5204-5TQG144I chip model is an integrated circuit developed by Xilinx, Inc., a leading provider of advanced programmable logic devices. This advanced chip model is designed to provide high performance and low power consumption. It is suitable for a wide range of applications, including networking, telecommunication, industrial automation, and consumer electronics.


The XC5204-5TQG144I chip model has a number of advantages. It has a high operating frequency, which allows it to process data quickly and efficiently. It also has a low power consumption level, which makes it suitable for use in low-power applications. In addition, it has a high integration level, which allows it to integrate multiple functions into one chip. This makes it suitable for applications that require multiple functions.


The XC5204-5TQG144I chip model is expected to be in high demand in the future. Its high performance and low power consumption make it suitable for a range of applications, including 5G networks, artificial intelligence, and the Internet of Things. It is also expected to be used in the development of autonomous vehicles, robotics, and other smart devices.


The XC5204-5TQG144I chip model can be applied to a range of intelligent scenarios. It can be used to develop networks that are able to process large amounts of data quickly and accurately. It can also be used to develop intelligent robots and autonomous vehicles that are able to make decisions and interact with their environment. Finally, it can be used to develop smart devices that are able to interact with users and their environment.


The XC5204-5TQG144I chip model can also be used in the development of fully intelligent systems. It can be used to develop systems that are able to process large amounts of data quickly and accurately. It can also be used to develop systems that are able to interact with their environment and make decisions based on the data they receive.


In order to use the XC5204-5TQG144I chip model effectively, technical talents such as software engineers, electrical engineers, and computer scientists are needed. Software engineers are needed to develop the software that will be used to control the chip model. Electrical engineers are needed to design the hardware that will be used to interface with the chip model. Finally, computer scientists are needed to develop algorithms that will be used to process the data that is collected by the chip model.


In conclusion, the XC5204-5TQG144I chip model is an advanced integrated circuit that is expected to be in high demand in the future. It has a number of advantages, including a high operating frequency, low power consumption, and high integration level. It can be applied to a range of intelligent scenarios, including networks, autonomous vehicles, and smart devices. In order to use the chip model effectively, technical talents such as software engineers, electrical engineers, and computer scientists are needed.



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