XC4028XLA-8BG256C
XC4028XLA-8BG256C
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rohs

AMD Xilinx

XC4028XLA-8BG256C


XC4028XLA-8BG256C
F20-XC4028XLA-8BG256C
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, BGA
BGA

XC4028XLA-8BG256C ECAD Model


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XC4028XLA-8BG256C Attributes


Type Description Select
Pbfree Code No
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 3.3 V
Number of Equivalent Gates 18000
Number of CLBs 1024
Combinatorial Delay of a CLB-Max 1 ns
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Temperature Grade OTHER
Package Shape SQUARE
Technology CMOS
Organization 1024 CLBS, 18000 GATES
Additional Feature CAN ALSO USE 50000 GATES
Clock Frequency-Max 263 MHz
Supply Voltage-Max 3.6 V
Supply Voltage-Min 3 V
JESD-30 Code S-PBGA-B256
Qualification Status Not Qualified
JESD-609 Code e0
Moisture Sensitivity Level 3
Operating Temperature-Max 85 °C
Number of Terminals 256
Package Body Material PLASTIC/EPOXY
Package Code BGA
Package Shape SQUARE
Package Style GRID ARRAY
Surface Mount YES
Terminal Finish TIN LEAD
Terminal Form BALL
Terminal Pitch 1.27 mm
Terminal Position BOTTOM
Width 27 mm
Length 27 mm
Seated Height-Max 2.55 mm
Ihs Manufacturer XILINX INC
Part Package Code BGA
Package Description BGA,
Pin Count 256
Reach Compliance Code compliant
HTS Code 8542.39.00.01

XC4028XLA-8BG256C Datasheet Download


XC4028XLA-8BG256C Overview



The chip model XC4028XLA-8BG256C is a relatively new model of chip, and its applications are becoming increasingly popular in the industry. It is a low-power, low-cost, and low-voltage solution for many applications. It is equipped with a wide range of features, including an 8-bit microcontroller, 256KB of Flash memory, and 8KB of RAM.


The XC4028XLA-8BG256C is designed to provide a wide range of applications, ranging from industrial and consumer electronics to medical and automotive applications. It is also suitable for many embedded systems, such as those used in robots and other intelligent devices. This chip model is also suitable for applications that require high performance, such as those used in medical imaging systems and other high-end applications.


In terms of industry trends, the XC4028XLA-8BG256C is becoming increasingly popular in the market due to its low power consumption and low cost. As the technology advances, this chip model is expected to be used in more applications and to be further optimized for better performance. This chip model is also well-suited for applications that require the support of new technologies, such as those used in artificial intelligence and machine learning.


Regarding the application of the XC4028XLA-8BG256C in the development and popularization of future intelligent robots, the chip model is well-suited for the task. Its low-power consumption and low-cost make it an attractive choice for many applications. In addition, the chip model is also suitable for applications that require new technologies, such as those used in artificial intelligence and machine learning.


To use the XC4028XLA-8BG256C effectively, technical talents are needed. The chip model requires specialized knowledge in order to be programmed and used properly. Those who have experience in embedded systems, robotics, or artificial intelligence will be well-suited for the task. Additionally, those with experience in hardware engineering and software development will also be able to use the chip model effectively.


Overall, the XC4028XLA-8BG256C is a versatile chip model that is suitable for many applications. It is becoming increasingly popular in the industry due to its low power consumption and low cost. In terms of industry trends, the XC4028XLA-8BG256C is expected to be used in more applications and to be further optimized for better performance. It is also suitable for applications that require the support of new technologies, such as those used in artificial intelligence and machine learning. In terms of its application in the development and popularization of future intelligent robots, the chip model is well-suited for the task. Technical talents are needed in order to use the chip model effectively, and those with experience in embedded systems, robotics, or artificial intelligence will be well-suited for the task.



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