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XCVU9P-3FLGA2104E

XCVU9P-3FLGA2104E

XCVU9P-3FLGA2104E

Xilinx Inc.

FPGAs Virtex? UltraScale+? Series 2104-BBGA, FCBGA

SOT-23

XCVU9P-3FLGA2104E Datasheet

non-compliant

In-Stock: 0 items
Specifications
Name Value
Type Parameter
Factory Lead Time 13 Weeks
Mounting Type Surface Mount
Package / Case 2104-BBGA, FCBGA
Operating Temperature 0°C~100°C TJ
Packaging Tray
Series Virtex® UltraScale+™
Part Status Active
HTS Code 8542.39.00.01
Voltage - Supply 0.873V~0.927V
Peak Reflow Temperature (Cel) NOT SPECIFIED
Reach Compliance Code not_compliant
[email protected] Reflow Temperature-Max (s) NOT SPECIFIED
Number of I/O 832
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Number of Logic Elements/Cells 2586150
Total RAM Bits 391168000
Number of LABs/CLBs 147780
RoHS Status ROHS3 Compliant
Pricing & Ordering
Quantity Unit Price Ext. Price
XCVU9P-3FLGA2104E Product Details

XCVU9P-3FLGA2104E Overview


As part of the 2104-BBGA, FCBGA package, it is included. This kind of FPGA is composed of FIELD PROGRAMMABLE GATE ARRAY. Fpga chips is programmed wFpga chipsh 832 I/Os for transferring data in a more coherent manner. A fundamental building block consists of 2586150 logic elements/cells. An attachment Surface Mount allows the FPGA module to be attached to the development board. Powered by a 0.873V~0.927V supply voltage, fpga chips is able to operate at high speeds. As part of the Virtex? UltraScale+? series of FPGAs, it is a type of FPGA. In order to ensure a safe and efficient operation, it is important to maintain a temperature within 0°C~100°C TJ at all times. As a space-saving measure, this FPGA model is contained within Tray. This device has 391168000 RAM bits, which is the number of RAM bits that this device offers. The FPGA consists of 147780 LABs/CLBs.

XCVU9P-3FLGA2104E Features


832 I/Os
Up to 391168000 RAM bits

XCVU9P-3FLGA2104E Applications


There are a lot of Xilinx Inc. XCVU9P-3FLGA2104E FPGAs applications.

  • Data Center
  • Video & Image Processing
  • Telecommunication
  • Artificial intelligence (AI)
  • Data center search engines
  • Medical imaging
  • Automotive advanced driver assistance systems (ADAS)
  • Medical ultrasounds
  • Aircraft navigation
  • Voice recognition

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