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TCA6416A
Part No
Manufacturer
Parts specification
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290755
Part No
TCA6416A
Manufacturer
TOSHIBA
Parts specification
Quantity
5192
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458835
Part No
TCA6416A
Manufacturer
TI
Parts specification
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6005
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458836
Part No
TCA6416APW
Manufacturer
TI
Parts specification
Quantity
6006
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458837
Part No
TCA6416APWR
Manufacturer
TI
Parts specification
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6006
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458838
Part No
TCA6416APWRG4
Manufacturer
TI
Parts specification
Quantity
6006
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458839
Part No
TCA6416AQSR
Manufacturer
TI
Parts specification
Quantity
6007
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458840
Part No
TCA6416ARTW
Manufacturer
TI
Parts specification
Quantity
6007
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458841
Part No
TCA6416ARTWR
Manufacturer
TI
Parts specification
Quantity
6007
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458842
Part No
TCA6416AZQSR
Manufacturer
TI
Parts specification
Quantity
6007
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458843
Part No
TCA6416AZQSRE4
Manufacturer
TI
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6008
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XCZU2CG-1SBCVJ478E
Manufacturer
:
XILINX
Part No
:
XCZU2CG-1SBVA484E
Order Code
:
2760177
Product Range
:
Zynq UltraScale+ MPSoC Family
Series
:
MPSoC
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Product Overview
The Xilinx Zynq® UltraScale+™ MPSoC family provide 64bit processor scalability while combining real-time control with soft, hard engines for graphics, video, waveform and packet processing. Built on a common real-time processor and programmable logic equipped platform, 3 distinct variants include dual (CG), quad application processor and GPU (EG) and video codec (EV) devices, creating unlimited possibilities for 5G wireless, next generation ADAS, industrial IoT applications. The CG devices hasheterogeneous processing system comprised of dual-core Cortex™-A53, dual-core Cortex™-R5 real-timeprocessing unit.
- Zynq® UltraScale+™ MPSoCs are available in -3, -2, -1 speed grades
- Innovative ARM® + FPGA architecture for differentiation, analytics & control
- Extensive OS, middleware, stacks, accelerators and IP ecosystem
- Multiple levels of hardware and software security, architected to deliver low system power
- Integration delivering the de facto All Programmable platform
- Up to 5X system level performance per watt over Zynq®-7000 SoCs
- Industry leading design tools, C/C++, open CL design abstractions