XC2V250-4CS144C
XC2V250-4CS144C
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rohs

AMD Xilinx

XC2V250-4CS144C


XC2V250-4CS144C
F20-XC2V250-4CS144C
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, 12 X 12 MM, 0.80 MM PITCH, MO-216BAG-2, CSP-144
12 X 12 MM, 0.80 MM PITCH, MO-216BAG-2, CSP-144

XC2V250-4CS144C ECAD Model


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XC2V250-4CS144C Attributes


Type Description Select
Pbfree Code No
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 1.5 V
Number of Inputs 92
Number of Outputs 92
Number of Logic Cells 3456
Number of Equivalent Gates 250000
Number of CLBs 384
Combinatorial Delay of a CLB-Max 440 ps
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Temperature Grade OTHER
Package Shape SQUARE
Technology CMOS
Organization 384 CLBS, 250000 GATES
Clock Frequency-Max 650 MHz
Power Supplies 1.5,1.5/3.3,3.3 V
Supply Voltage-Max 1.575 V
Supply Voltage-Min 1.425 V
JESD-30 Code S-PBGA-B144
Qualification Status Not Qualified
JESD-609 Code e0
Moisture Sensitivity Level 3
Operating Temperature-Max 85 °C
Peak Reflow Temperature (Cel) 240
Time@Peak Reflow Temperature-Max (s) 30
Number of Terminals 144
Package Body Material PLASTIC/EPOXY
Package Code TFBGA
Package Equivalence Code BGA144,13X13,32
Package Shape SQUARE
Package Style GRID ARRAY, THIN PROFILE, FINE PITCH
Surface Mount YES
Terminal Finish Tin/Lead (Sn63Pb37)
Terminal Form BALL
Terminal Pitch 800 µm
Terminal Position BOTTOM
Width 12 mm
Length 12 mm
Seated Height-Max 1.2 mm
Ihs Manufacturer XILINX INC
Part Package Code BGA
Package Description 12 X 12 MM, 0.80 MM PITCH, MO-216BAG-2, CSP-144
Pin Count 144
Reach Compliance Code not_compliant
HTS Code 8542.39.00.01
ECCN Code EAR99

XC2V250-4CS144C Datasheet Download


XC2V250-4CS144C Overview



The chip model XC2V250-4CS144C is a programmable logic device (PLD) that is widely used in various industries. It is a field-programmable gate array (FPGA) developed by Xilinx, a leader in the field of programmable logic. The chip model XC2V250-4CS144C has a powerful logic capacity, with a total of 144 logic cells, and a wide range of features and functions. It can be used to implement complex logic functions and can be used in a variety of applications such as embedded systems, consumer electronics, industrial automation, and medical devices.


In terms of industry trends, the chip model XC2V250-4CS144C is becoming increasingly popular as it is used in a wide range of applications. With its powerful logic capacity and wide range of features and functions, it is becoming a popular choice for designers and engineers. This chip model is also being used in the development of intelligent robots, as it offers a great deal of flexibility and can be programmed to perform complex tasks.


In terms of future development, the chip model XC2V250-4CS144C is expected to continue to be a popular choice for designers and engineers. As the demand for intelligent robots increases, the chip model is expected to be used in a variety of applications. It is also likely that new technologies will be needed to support the application environment, such as advanced artificial intelligence and machine learning algorithms.


In terms of specific design requirements, the chip model XC2V250-4CS144C should be used with caution. It is important to understand the design requirements and limitations of the chip model, as well as the potential risks and drawbacks. Additionally, it is important to consider the actual case studies and precautions when using the chip model.


In terms of technical talents, the chip model XC2V250-4CS144C requires a certain level of expertise in order to be used effectively. Those who wish to use the chip model should have a good understanding of the different features and functions available, as well as the design requirements and limitations. Additionally, knowledge of artificial intelligence and machine learning algorithms is also necessary in order to support the application environment.


Overall, the chip model XC2V250-4CS144C is a powerful and popular choice for designers and engineers. With its powerful logic capacity and wide range of features and functions, it is becoming a popular choice for a variety of applications. As the demand for intelligent robots increases, new technologies will be needed to support the application environment. Those who wish to use the chip model should have a good understanding of the different features and functions available, as well as the design requirements and limitations. Additionally, knowledge of artificial intelligence and machine learning algorithms is also necessary in order to support the application environment.



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