
AMD Xilinx
XC5210-4PG223C
XC5210-4PG223C ECAD Model
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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