XCZU4CG-L1SFVC784I

AMD / Xilinx
217-ZU4CG-L1SFVC784I
XCZU4CG-L1SFVC784I

Mfr.:

Description:
SoC FPGA XCZU4CG-L1SFVC784I

This product may require additional documentation to export from the United States.

In Stock: 3

Stock:
3 Can Dispatch Immediately
Factory Lead Time:
31 Weeks Estimated factory production time for quantities greater than shown.
Minimum: 1   Multiples: 1
Unit Price:
-,-- €
Ext. Price:
-,-- €
Est. Tariff:
This Product Ships FREE

Pricing (EUR)

Qty. Unit Price
Ext. Price
1.217,50 € 1.217,50 €

Product Attribute Attribute Value Select Attribute
AMD
Product Category: SoC FPGA
Delivery Restrictions:
 This product may require additional documentation to export from the United States.
RoHS:  
SMD/SMT
FCBGA-784
ARM Cortex A53, ARM Cortex R5
4 Core
600 MHz, 1.5 GHz
2 x 32 kB, 2 x 32 kB
2 x 32 kB, 2 x 32 kB
192150 LE
10980 ALM
4.5 Mbit
256 I/O
850 mV
- 40 C
+ 100 C
Brand: AMD / Xilinx
Distributed RAM: 2.6 Mbit
Embedded Block RAM - EBR: 4.5 Mbit
Moisture Sensitive: Yes
Number of Logic Array Blocks - LABs: 10980 LAB
Number of Transceivers: 16 Transceiver
Product Type: SoC FPGA
Series: XCZU4CG
Factory Pack Quantity: 60
Subcategory: SOC - Systems on a Chip
Tradename: Zynq UltraScale+
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TARIC:
8542399000
USHTS:
8542310070
ECCN:
5A002.A.4

Zynq™ UltraScale+™ MPSoCs

AMD / Xilinx Zynq™ UltraScale+™ Multiprocessor Systems-on-Chips (MPSoCs) feature 64-bit processor scalability, combining real-time control with soft and hard engines for graphics, video, waveform, and packet processing. The MPSoCs are built on a standard real-time processor and programmable logic-equipped platform. AMD / Xilinx UltraScale+ MPSoCs consist of three distinct variants (dual-core, quad-core, and video codec). Dual-core application processor-equipped (CG) devices are optimal for industrial motor control and sensor fusion. Quad-core application processor-equipped (EG) devices excel in wired and wireless infrastructure, data centers, and aerospace and defense applications. Video codec-equipped (EV) devices are ideal for multimedia, automotive automated driver assistance systems, and surveillance applications.