
AMD Xilinx
XC2V250-4CS144C
XC2V250-4CS144C ECAD Model
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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