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XCKU9P-2FFVE900I

XCKU9P-2FFVE900I

XCKU9P-2FFVE900I

Xilinx Inc.

FPGAs Kintex? UltraScale+? Series 900-BBGA, FCBGA

SOT-23

XCKU9P-2FFVE900I Datasheet

non-compliant

In-Stock: 0 items
Specifications
Name Value
Type Parameter
Factory Lead Time 11 Weeks
Mounting Type Surface Mount
Package / Case 900-BBGA, FCBGA
Operating Temperature -40°C~100°C TJ
Packaging Bulk
Series Kintex® UltraScale+™
Part Status Active
Moisture Sensitivity Level (MSL) 4 (72 Hours)
HTS Code 8542.39.00.01
Voltage - Supply 0.825V~0.876V
Peak Reflow Temperature (Cel) NOT SPECIFIED
[email protected] Reflow Temperature-Max (s) NOT SPECIFIED
Number of I/O 304
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Number of Logic Elements/Cells 599550
Total RAM Bits 41881600
Number of LABs/CLBs 34260
RoHS Status ROHS3 Compliant
Pricing & Ordering
Quantity Unit Price Ext. Price
XCKU9P-2FFVE900I Product Details

XCKU9P-2FFVE900I Overview


A 900-BBGA, FCBGA package is provided with this component. In this kind of FPGA, FIELD PROGRAMMABLE GATE ARRAY is used. The device has 304 I/O ports for more coherent data transfer. To form a fundamental building block, there are 599550 logic elements/cells. FPGA modules can be attached to development boards using a Surface Mount-connector. Powered by a 0.825V~0.876V supply voltage, fpga chips is able to operate at high speeds. It is a type of FPGA belonging to the Kintex? UltraScale+? seies. In order to ensure a safe and efficient operation, it is important to maintain a temperature within -40°C~100°C TJ at all times. As a result of space limitations, this FPGA model has been included in Bulk. As far as the RAM bits are concerned, this device offers you a total of 41881600. 34260 LABs/CLBs are configured on this FPGA.

XCKU9P-2FFVE900I Features


304 I/Os
Up to 41881600 RAM bits

XCKU9P-2FFVE900I Applications


There are a lot of Xilinx Inc. XCKU9P-2FFVE900I FPGAs applications.

  • Medical ultrasounds
  • Automotive
  • Integrating multiple SPLDs
  • Industrial Ethernet
  • Embedded Vision
  • Image processing
  • Automotive advanced driver assistance systems (ADAS)
  • Digital signal processing
  • Automation
  • Device controllers

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