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XCKU15P-3FFVE1760E

XCKU15P-3FFVE1760E

XCKU15P-3FFVE1760E

Xilinx Inc.

FPGAs Kintex? UltraScale+? Series 1760-BBGA, FCBGA

SOT-23

XCKU15P-3FFVE1760E Datasheet

non-compliant

In-Stock: 0 items
Specifications
Name Value
Type Parameter
Factory Lead Time 11 Weeks
Mounting Type Surface Mount
Package / Case 1760-BBGA, FCBGA
Operating Temperature 0°C~100°C TJ
Packaging Tray
Series Kintex® UltraScale+™
Part Status Active
HTS Code 8542.39.00.01
Voltage - Supply 0.873V~0.927V
Peak Reflow Temperature (Cel) NOT SPECIFIED
[email protected] Reflow Temperature-Max (s) NOT SPECIFIED
Number of I/O 668
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Number of Logic Elements/Cells 1143450
Total RAM Bits 82329600
Number of LABs/CLBs 65340
RoHS Status ROHS3 Compliant
Pricing & Ordering
Quantity Unit Price Ext. Price
XCKU15P-3FFVE1760E Product Details

XCKU15P-3FFVE1760E Overview


There are two packages that contain fpga chips: 1760-BBGA, FCBGA package and X package. A FIELD PROGRAMMABLE GATE ARRAY-based FPGA is one of these types. The I/Os are designed to facilitate a more coherent transfer of data. A fundamental building block contains 1143450 logic elements or cells. By attaching the Surface Mount connector, you can use this FPGA module with your development board. The supply voltage of the device is 0.873V~0.927V , at which it runs. As part of the Kintex? UltraScale+? series of FPGAs, it is a type of FPGA. Fpga chips is necessary to keep the operating temperature wFpga chipshin 0°C~100°C TJ when the device is operating. Unlike other FPGA models, this one is contained in Tray for the sake of space saving. The RAM bits that are offered by this fpga chips are 82329600. 65340 LABs/CLBs are integrated into this FPGA.

XCKU15P-3FFVE1760E Features


668 I/Os
Up to 82329600 RAM bits

XCKU15P-3FFVE1760E Applications


There are a lot of Xilinx Inc. XCKU15P-3FFVE1760E FPGAs applications.

  • Automotive
  • Industrial IoT
  • Scientific Instruments
  • Embedded Vision
  • Medical Electronics
  • Server Applications
  • Software-defined radio
  • Automotive Applications
  • Data Mining
  • Ecosystem

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