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LCMXO2-4000ZE-2QN84C

LCMXO2-4000ZE-2QN84C

LCMXO2-4000ZE-2QN84C

Lattice Semiconductor Corporation

FPGAs MachXO2 Series 84-VFQFN Dual Rows, Exposed Pad

SOT-23

LCMXO2-4000ZE-2QN84C Datasheet

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In-Stock: 0 items
Specifications
Name Value
Type Parameter
Factory Lead Time 8 Weeks
Mounting Type Surface Mount
Package / Case 84-VFQFN Dual Rows, Exposed Pad
Operating Temperature 0°C~85°C TJ
Packaging Tray
Published 2016
Series MachXO2
Part Status Active
Moisture Sensitivity Level (MSL) 3 (168 Hours)
ECCN Code EAR99
HTS Code 8542.39.00.01
Voltage - Supply 1.14V~1.26V
Peak Reflow Temperature (Cel) NOT SPECIFIED
[email protected] Reflow Temperature-Max (s) NOT SPECIFIED
Number of I/O 68
Programmable Logic Type FIELD PROGRAMMABLE GATE ARRAY
Number of Logic Elements/Cells 4320
Total RAM Bits 94208
Number of LABs/CLBs 540
RoHS Status ROHS3 Compliant
Pricing & Ordering
Quantity Unit Price Ext. Price
260 $10.59592 $2754.9392
LCMXO2-4000ZE-2QN84C Product Details

LCMXO2-4000ZE-2QN84C Overview


Fpga chips is supplied in the 84-VFQFN Dual Rows, Exposed Pad package. Fpga chips consists of FIELD PROGRAMMABLE GATE ARRAY elements. A total of 68 I/Os allow data to be transferred in a more coherent manner. A fundamental building block is made up of 4320 logic elements/cells. This FPGA module can be attached to the development board with a Surface Mount. In order to operate it, it requires a voltage supply of 1.14V~1.26V . As part of the MachXO2 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~85°C TJ at all times. Using the Tray layout, this FPGA model can be contained in a very small amount of space. As far as the RAM bits are concerned, this device offers you a total of 94208. A total of 540 LABs/CLBs are included in this FPGA.

LCMXO2-4000ZE-2QN84C Features


68 I/Os
Up to 94208 RAM bits

LCMXO2-4000ZE-2QN84C Applications


There are a lot of Lattice Semiconductor Corporation LCMXO2-4000ZE-2QN84C FPGAs applications.

  • Secure Communication
  • Data center hardware accelerators
  • Digital signal processing
  • Video & Image Processing
  • Artificial intelligence (AI)
  • Integrating multiple SPLDs
  • Medical imaging
  • Medical Applications
  • Space Applications
  • Military DSP

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