XC5210-4PG223C
XC5210-4PG223C
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rohs

AMD Xilinx

XC5210-4PG223C


XC5210-4PG223C
F20-XC5210-4PG223C
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, HPGA, PGA223,18X18
HPGA, PGA223,18X18

XC5210-4PG223C ECAD Model


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XC5210-4PG223C Attributes


Type Description Select
Pbfree Code No
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 5 V
Number of Inputs 196
Number of Outputs 196
Number of Logic Cells 324
Number of Equivalent Gates 10000
Number of CLBs 324
Combinatorial Delay of a CLB-Max 3.8 ns
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Temperature Grade OTHER
Package Shape SQUARE
Technology CMOS
Organization 324 CLBS, 10000 GATES
Additional Feature MAX AVAILABLE 16000 LOGIC GATES
Clock Frequency-Max 83 MHz
Power Supplies 5 V
Supply Voltage-Max 5.25 V
Supply Voltage-Min 4.75 V
JESD-30 Code S-CPGA-P223
Qualification Status Not Qualified
Moisture Sensitivity Level 1
Operating Temperature-Max 85 °C
Number of Terminals 223
Package Body Material CERAMIC, METAL-SEALED COFIRED
Package Code HPGA
Package Equivalence Code PGA223,18X18
Package Shape SQUARE
Package Style GRID ARRAY, HEAT SINK/SLUG
Surface Mount NO
Terminal Form PIN/PEG
Terminal Pitch 2.54 mm
Terminal Position PERPENDICULAR
Width 47.244 mm
Length 47.244 mm
Seated Height-Max 4.318 mm
Ihs Manufacturer XILINX INC
Part Package Code PGA
Package Description HPGA, PGA223,18X18
Pin Count 223
Reach Compliance Code unknown
HTS Code 8542.39.00.01

XC5210-4PG223C Datasheet Download


XC5210-4PG223C Overview



The chip model XC5210-4PG223C is an advanced microcontroller that is designed to provide high performance and reliable operation for a variety of applications. It is a powerful programmable logic device that can be used to create complex systems with low power consumption and minimal resources. This chip model is capable of supporting a variety of interfaces, including USB, Ethernet, and SPI. It is also designed to be compatible with various operating systems, including Windows, Linux, and Mac OS.


The XC5210-4PG223C is a great choice for those who are looking to build their own embedded systems. It has a wide range of features that make it an ideal choice for a variety of applications. It is capable of supporting a wide range of peripherals, such as sensors, cameras, and motors. It also has a wide range of development tools that make it easy to program and debug.


In terms of industry trends, the XC5210-4PG223C is a great choice for those who are looking to build their own embedded systems. It is capable of supporting a variety of technologies, such as artificial intelligence, machine learning, and the Internet of Things. This chip model is also capable of supporting a variety of operating systems and hardware platforms, making it a great choice for those who are looking to build their own custom systems.


The XC5210-4PG223C is a great choice for those who are looking to build their own intelligent robots. It is capable of supporting a variety of technologies, such as artificial intelligence, machine learning, and the Internet of Things. This chip model is also capable of supporting a variety of operating systems and hardware platforms, making it a great choice for those who are looking to build their own custom robots.


In order to use the XC5210-4PG223C effectively, it is important to understand its product description and specific design requirements. It is also important to understand the actual case studies and precautions that are associated with the chip model. Additionally, it is important to understand what technical talents are needed to use the chip model effectively.


Overall, the XC5210-4PG223C is a great choice for those who are looking to build their own embedded systems or intelligent robots. It is capable of supporting a variety of technologies, including artificial intelligence, machine learning, and the Internet of Things. Additionally, it is important to understand its product description and specific design requirements, as well as the actual case studies and precautions associated with the chip model. Finally, it is important to understand what technical talents are needed to use the chip model effectively.



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