XC5215-4HQ240I
XC5215-4HQ240I
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rohs

AMD Xilinx

XC5215-4HQ240I


XC5215-4HQ240I
F20-XC5215-4HQ240I
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, HEAT SINK, PLASTIC, QFP-240
HEAT SINK, PLASTIC, QFP-240

XC5215-4HQ240I ECAD Model


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XC5215-4HQ240I Attributes


Type Description Select
Pbfree Code No
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 5 V
Number of Inputs 244
Number of Outputs 244
Number of Logic Cells 484
Number of Equivalent Gates 15000
Number of CLBs 484
Combinatorial Delay of a CLB-Max 3.8 ns
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Package Shape SQUARE
Technology CMOS
Organization 484 CLBS, 15000 GATES
Additional Feature TYP. GATES = 15000-23000
Clock Frequency-Max 83 MHz
Power Supplies 5 V
Supply Voltage-Max 5.5 V
Supply Voltage-Min 4.5 V
JESD-30 Code S-PQFP-G240
Qualification Status Not Qualified
JESD-609 Code e0
Moisture Sensitivity Level 3
Peak Reflow Temperature (Cel) 225
Time@Peak Reflow Temperature-Max (s) 30
Number of Terminals 240
Package Body Material PLASTIC/EPOXY
Package Code HFQFP
Package Equivalence Code HQFP240,1.37SQ,20
Package Shape SQUARE
Package Style FLATPACK, HEAT SINK/SLUG, FINE PITCH
Surface Mount YES
Terminal Finish Tin/Lead (Sn85Pb15)
Terminal Form GULL WING
Terminal Pitch 500 µm
Terminal Position QUAD
Width 32 mm
Length 32 mm
Seated Height-Max 4.1 mm
Ihs Manufacturer XILINX INC
Part Package Code QFP
Package Description HEAT SINK, PLASTIC, QFP-240
Pin Count 240
Reach Compliance Code compliant
HTS Code 8542.39.00.01

XC5215-4HQ240I Datasheet Download


XC5215-4HQ240I Overview



The XC5215-4HQ240I chip model is a powerful and versatile processor that has a wide range of potential applications in the future. Developed by Xilinx, this model is a high-performance, low-power, and cost-effective choice for many industries, such as the automotive, industrial, and consumer markets. It is designed to meet the demands of the most complex applications and can be used in a variety of scenarios.


The XC5215-4HQ240I chip model has several advantages that make it an ideal choice for many applications. It has four high-speed transceivers, two high-speed serial ports, and two general-purpose I/O ports. This allows it to support high-speed data transfer and communication, making it a great choice for networks. It also has a wide range of power management options and a low-power sleep mode, making it a great choice for battery-powered applications. Additionally, the chip model has a wide range of memory options, making it suitable for a variety of applications.


The XC5215-4HQ240I chip model is expected to have a growing demand in the future. With the development of the Internet of Things (IoT) and the increasing demand for intelligent systems, the chip model is expected to be used in many scenarios. It can be used to build networks, such as home automation networks, industrial networks, and automotive networks. It can also be used for intelligent scenarios, such as facial recognition, object recognition, and voice recognition. Additionally, the chip model can be used in the development of intelligent robots, such as autonomous vehicles, drones, and robots.


In order to use the XC5215-4HQ240I chip model effectively, certain technical talents are needed. This includes knowledge of embedded systems, programming languages, and hardware design. Additionally, knowledge of machine learning algorithms and artificial intelligence principles is also necessary. With the right technical knowledge and expertise, the chip model can be used to develop and popularize future intelligent robots, such as autonomous vehicles, drones, and robots.


In conclusion, the XC5215-4HQ240I chip model is a powerful and versatile processor that can be used in a variety of applications. It has several advantages, such as high-speed data transfer and communication, low-power sleep mode, and a wide range of memory options. It is expected to have a growing demand in the future, as it can be used for networks and intelligent scenarios. Additionally, it can be used for the development and popularization of future intelligent robots. To use the chip model effectively, certain technical talents are needed, such as knowledge of embedded systems, programming languages, hardware design, machine learning algorithms, and artificial intelligence principles.



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