XC4062XLA-08BG352I
XC4062XLA-08BG352I
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rohs

AMD Xilinx

XC4062XLA-08BG352I


XC4062XLA-08BG352I
F20-XC4062XLA-08BG352I
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, PLASTIC, BGA-352
PLASTIC, BGA-352

XC4062XLA-08BG352I ECAD Model


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XC4062XLA-08BG352I Attributes


Type Description Select
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 3.3 V
Number of Inputs 289
Number of Outputs 289
Number of Logic Cells 5472
Number of Equivalent Gates 40000
Number of CLBs 2304
Combinatorial Delay of a CLB-Max 1 ns
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Package Shape SQUARE
Technology CMOS
Organization 2304 CLBS, 40000 GATES
Additional Feature CAN ALSO USE 130000 GATES
Clock Frequency-Max 263 MHz
Power Supplies 3.3 V
Supply Voltage-Max 3.6 V
Supply Voltage-Min 3 V
JESD-30 Code S-PBGA-B352
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 352
Package Body Material PLASTIC/EPOXY
Package Code LBGA
Package Equivalence Code BGA352,26X26,50
Package Shape SQUARE
Package Style GRID ARRAY, LOW PROFILE
Surface Mount YES
Terminal Finish Tin/Lead (Sn63Pb37)
Terminal Form BALL
Terminal Pitch 1.27 mm
Terminal Position BOTTOM
Width 35 mm
Length 35 mm
Seated Height-Max 1.7 mm
Ihs Manufacturer XILINX INC
Part Package Code BGA
Package Description PLASTIC, BGA-352
Pin Count 352
Reach Compliance Code not_compliant
HTS Code 8542.39.00.01

XC4062XLA-08BG352I Datasheet Download


XC4062XLA-08BG352I Overview



The chip model XC4062XLA-08BG352I is a revolutionary new product that has the potential to revolutionize the way networks are designed and operated. It is designed specifically to be used in the era of fully intelligent systems, and is capable of providing a wide range of intelligent scenarios. This chip model is capable of performing complex tasks such as natural language processing, image recognition, and machine learning.


The product description and design requirements of the XC4062XLA-08BG352I are quite comprehensive. This chip model is designed to have a wide range of features including a 32-bit RISC-V core, a dual-channel memory controller, and a high-speed Ethernet interface. It also has a wide range of peripherals including a USB controller, a CAN controller, and a UART controller. Additionally, the chip model can be used to develop and popularize future intelligent robots, and it has support for various AI algorithms and frameworks, such as TensorFlow and Caffe.


To use the chip model XC4062XLA-08BG352I effectively, there are a few technical talents that are needed. These include knowledge of computer architecture, embedded systems, and computer programming. Additionally, knowledge of the RISC-V core and the various peripherals of the chip model are also important. Furthermore, knowledge of AI algorithms and frameworks is also necessary, as this chip model can be used to develop and popularize future intelligent robots.


There have been a few case studies of the XC4062XLA-08BG352I chip model, and they have all been quite successful. In one case study, the chip model was used to develop an intelligent home security system. This system was able to detect and identify objects in a home environment, as well as alert the user of any suspicious activity. In another case study, the chip model was used to develop an autonomous driving system. This system was able to detect objects in the environment and take the appropriate action in order to avoid collisions.


When using the XC4062XLA-08BG352I chip model, there are a few precautions that must be taken. Firstly, the chip model should be used in an environment with adequate ventilation and cooling. Additionally, the chip model should not be used in an environment with high levels of electromagnetic interference. Furthermore, the chip model should not be exposed to extreme temperatures or humidity.


In conclusion, the chip model XC4062XLA-08BG352I is a revolutionary new product that has the potential to revolutionize the way networks are designed and operated. It is designed specifically to be used in the era of fully intelligent systems, and is capable of providing a wide range of intelligent scenarios. To use the chip model effectively, knowledge of computer architecture, embedded systems, computer programming, RISC-V core, and AI algorithms and frameworks are necessary. There have been a few successful case studies of the chip model, and there are a few precautions that must be taken when using it.



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