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XCKU15P-3FFVA1156E

XCKU15P-3FFVA1156E

XCKU15P-3FFVA1156E

Xilinx Inc.

FPGAs Kintex? UltraScale+? Series 1156-BBGA, FCBGA

SOT-23

XCKU15P-3FFVA1156E Datasheet

non-compliant

In-Stock: 0 items
Specifications
Name Value
Type Parameter
Factory Lead Time 11 Weeks
Mounting Type Surface Mount
Package / Case 1156-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 516
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-3FFVA1156E Product Details

XCKU15P-3FFVA1156E Overview


In the 1156-BBGA, FCBGA package, you will find fpga chips. This kind of FPGA is composed of FIELD PROGRAMMABLE GATE ARRAY. Its 516 I/Os help it transfer data more efficiently. A fundamental building block is made up of 1143450 logic elements/cells. The Surface Mount-slot connector on the FPGA module can be connected to the development board. In order for it to operate, the supply voltage must be 0.873V~0.927V . FPGAs belonging to the Kintex? UltraScale+? series are a type of FPGA that belong to the Kintex? UltraScale+? series of FPGAs. Fpga chips is necessary to keep the operating temperature wFpga chipshin 0°C~100°C TJ when the device is operating. In order to save space, this FPGA model has been contained in Tray. As far as the RAM bits are concerned, this device offers you a total of 82329600. The FPGA consists of 65340 LABs/CLBs.

XCKU15P-3FFVA1156E Features


516 I/Os
Up to 82329600 RAM bits

XCKU15P-3FFVA1156E Applications


There are a lot of Xilinx Inc. XCKU15P-3FFVA1156E FPGAs applications.

  • High Performance Computing
  • Enterprise networking
  • Data Center
  • Image processing
  • OpenCL
  • Ecosystem
  • Bioinformatics
  • Digital signal processing
  • ADAS
  • Embedded Vision

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