XC2V6000-6BFG957C
XC2V6000-6BFG957C
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rohs

AMD Xilinx

XC2V6000-6BFG957C


XC2V6000-6BFG957C
F20-XC2V6000-6BFG957C
Active
FIELD PROGRAMMABLE GATE ARRAY, CMOS, 40 X 40 MM, 1.27 MM PITCH, MS-034BAU-1, FLIP CHIP, BGA-957
40 X 40 MM, 1.27 MM PITCH, MS-034BAU-1, FLIP CHIP, BGA-957

XC2V6000-6BFG957C ECAD Model


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XC2V6000-6BFG957C Attributes


Type Description Select
Pbfree Code Yes
Rohs Code Yes
Part Life Cycle Code Obsolete
Supply Voltage-Nom 1.5 V
Number of Inputs 684
Number of Outputs 684
Number of Logic Cells 76032
Number of Equivalent Gates 6000000
Number of CLBs 8448
Combinatorial Delay of a CLB-Max 350 ps
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Temperature Grade OTHER
Package Shape SQUARE
Technology CMOS
Organization 8448 CLBS, 6000000 GATES
Clock Frequency-Max 820 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-B957
Qualification Status Not Qualified
JESD-609 Code e1
Moisture Sensitivity Level 4
Operating Temperature-Max 85 °C
Peak Reflow Temperature (Cel) 245
Time@Peak Reflow Temperature-Max (s) 30
Number of Terminals 957
Package Body Material PLASTIC/EPOXY
Package Code BGA
Package Equivalence Code BGA957,31X31,50
Package Shape SQUARE
Package Style GRID ARRAY
Surface Mount YES
Terminal Finish Tin/Silver/Copper (Sn95.5Ag4.0Cu0.5)
Terminal Form BALL
Terminal Pitch 1.27 mm
Terminal Position BOTTOM
Width 40 mm
Length 40 mm
Seated Height-Max 3.5 mm
Ihs Manufacturer XILINX INC
Part Package Code BGA
Package Description 40 X 40 MM, 1.27 MM PITCH, MS-034BAU-1, FLIP CHIP, BGA-957
Pin Count 957
Reach Compliance Code not_compliant
ECCN Code 3A991.D
HTS Code 8542.39.00.01

XC2V6000-6BFG957C Datasheet Download


XC2V6000-6BFG957C Overview



The XC2V6000-6BFG957C chip model is a versatile and powerful model designed for high-performance digital signal processing, embedded processing, and image processing. It is based on the Xilinx Virtex-II Pro FPGA architecture and is programmed using the HDL (hardware description language) language. This chip model is highly suitable for applications requiring advanced signal processing capabilities and high-speed data throughput.


The XC2V6000-6BFG957C chip model has many advantages over its competitors. It is highly efficient and consumes less power than other models, while still providing a high level of performance. It is also highly reliable, with a high MTBF (Mean Time Between Failure) rating. Additionally, the chip model can be easily integrated into existing systems and can be easily customized to meet specific needs.


In the coming years, the demand for XC2V6000-6BFG957C chip models is expected to increase significantly. This is due to the growing demand for high-performance digital signal processing, embedded processing, and image processing applications in various industries. Furthermore, the chip model is highly suitable for applications in the fields of artificial intelligence, machine learning, and autonomous systems.


The XC2V6000-6BFG957C chip model is also expected to be increasingly used in the field of networks. It can be used to provide high-speed data transmission, as well as to perform advanced signal processing tasks. Moreover, the chip model can be used to create intelligent networks and to enable the development of intelligent applications.


In the future, the XC2V6000-6BFG957C chip model is expected to be used in the era of fully intelligent systems. It can be used to enable the development of advanced machine learning algorithms, as well as to enable the development of autonomous systems. Furthermore, the chip model can be used to create intelligent networks and to enable the development of intelligent applications.


Overall, the XC2V6000-6BFG957C chip model is a versatile and powerful model designed for high-performance digital signal processing, embedded processing, and image processing. It is highly efficient, reliable, and can be easily integrated into existing systems. In the coming years, the demand for this chip model is expected to increase significantly, as it is highly suitable for applications in the fields of artificial intelligence, machine learning, and autonomous systems. In the future, it is expected to be used in the era of fully intelligent systems, enabling the development of advanced machine learning algorithms and autonomous systems.



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