XCV1000E-8FG860I
XCV1000E-8FG860I
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rohs

AMD Xilinx

XCV1000E-8FG860I


XCV1000E-8FG860I
F20-XCV1000E-8FG860I
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, FBGA-860
FBGA-860

XCV1000E-8FG860I ECAD Model


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XCV1000E-8FG860I Attributes


Type Description Select
Rohs Code No
Part Life Cycle Code Obsolete
Supply Voltage-Nom 1.8 V
Number of Inputs 660
Number of Outputs 660
Number of Logic Cells 27648
Number of Equivalent Gates 331776
Number of CLBs 6144
Combinatorial Delay of a CLB-Max 400 ps
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Package Shape SQUARE
Technology CMOS
Organization 6144 CLBS, 331776 GATES
Clock Frequency-Max 416 MHz
Power Supplies 1.2/3.6,1.8 V
Supply Voltage-Max 1.89 V
Supply Voltage-Min 1.71 V
JESD-30 Code S-PBGA-B860
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 860
Package Body Material PLASTIC/EPOXY
Package Code BGA
Package Equivalence Code BGA860,42X42,40
Package Shape SQUARE
Package Style GRID ARRAY
Surface Mount YES
Terminal Finish Tin/Lead (Sn63Pb37)
Terminal Form BALL
Terminal Pitch 1 mm
Terminal Position BOTTOM
Width 42.5 mm
Length 42.5 mm
Seated Height-Max 2.2 mm
Ihs Manufacturer XILINX INC
Part Package Code BGA
Package Description FBGA-860
Pin Count 860
Reach Compliance Code not_compliant
HTS Code 8542.39.00.01

XCV1000E-8FG860I Datasheet Download


XCV1000E-8FG860I Overview



The XCV1000E-8FG860I chip model is a powerful tool for a variety of applications in various industries. This model is designed to provide high performance and reliability, making it a great choice for a range of tasks. The model is designed to be compatible with a wide range of systems, including networking and intelligent scenarios. This makes it an ideal choice for those looking to make the most of their system's capabilities.


The XCV1000E-8FG860I chip model has several advantages over other models. It is designed to be highly reliable and robust, with a long life expectancy. The model is also designed to be compatible with a wide range of systems, making it easy to integrate into existing systems. Furthermore, the model is designed to be energy efficient, allowing for lower operating costs.


The demand for the XCV1000E-8FG860I chip model is expected to grow in the future. This is due to the increasing demand for reliable and robust systems in a variety of industries. This demand is driven by the need for higher performance, greater reliability, and lower operating costs. Furthermore, the model is designed to be compatible with a wide range of systems, making it an ideal choice for those looking to make the most of their system's capabilities.


The XCV1000E-8FG860I chip model can be applied to a range of networks and intelligent scenarios. It is designed to be compatible with a wide range of systems, making it an ideal choice for those looking to make the most of their system's capabilities. The model is also designed to be energy efficient, allowing for lower operating costs. Furthermore, the model is designed to be highly reliable and robust, with a long life expectancy.


The XCV1000E-8FG860I chip model can also be used in the era of fully intelligent systems. This is due to the increasing demand for reliable and robust systems in a variety of industries. Furthermore, the model is designed to be compatible with a wide range of systems, making it an ideal choice for those looking to make the most of their system's capabilities.


The XCV1000E-8FG860I chip model is also applicable to the development and popularization of future intelligent robots. This is due to the model’s compatibility with a wide range of systems, allowing for greater flexibility and scalability. Furthermore, the model is designed to be energy efficient, allowing for lower operating costs.


In order to use the XCV1000E-8FG860I chip model effectively, technical talents are needed. This includes knowledge of system design, programming, and networking. Furthermore, knowledge of hardware and software engineering is also necessary. Additionally, knowledge of artificial intelligence and machine learning is also helpful. With the right technical talents, the XCV1000E-8FG860I chip model can be used to its fullest potential.



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