LCMXO2280E-3FTN324C Overview

In the 324-LBGA package, you will find fpga chips. Fpga chips consists of FLASH PLD elements. A total of 271 I/Os are programmed to ensure a more coherent data transfer. A fundamental building block is made up of 2280 logic elements/cells. It is powered from a supply voltage of 1.2V. A Field Programmable Gate Arrays-series FPGA part. The Surface Mount-slot on the development board allows you to attach the FPGA module. In order to operate it, it requires a voltage supply of 1.14V~1.26V . There are many types of FPGAs in the MachXO series, this is one of them. Fpga chips is necessary to keep the operating temperature wFpga chipshin 0°C~85°C TJ when the device is operating. With this device, you will be able to make use of 271 outputs. Unlike other FPGA models, this one is contained in Tray for the sake of space saving. The total number of terminations is 324. This device is equipped with 28262 RAM bits in terms of its RAM si28262e. LCMXO2280 is the base part number that can be used to identify related parts. The device has 324 pins which are included in the design. 285 LABs/CLBs are integrated into this FPGA. I think, as long as this FPGA is mounted in Surface Mount, it could perform excellently according to its specifications as long as you mount it in Surface Mount. Its flexibility can be fully utilized when operating with a 1.2V supply voltage. Fpga semiconductor is equipped wfpga semiconductorh 324 pin count. There is a possibility that this FPGA will be able to reach a speed of 500MHz. During operation, it uses 20mA of supply current. There are 7 dedicated inputs used to detect the status of input signals. In this device, 1140 Macro cells are the main building blocks of a CPLD. This memory is designed to store data efficiently and prevent resource conflicts.

LCMXO2280E-3FTN324C Features

271 I/Os
Up to 28262 RAM bits
324 LABs/CLBs

LCMXO2280E-3FTN324C Applications

There are a lot of Lattice Semiconductor Corporation LCMXO2280E-3FTN324C FPGAs applications.

• Device controllers
• Camera time adjustments
• Space Applications
• Computer hardware emulation
• Artificial intelligence (AI)
• Aircraft navigation
• ASIC prototyping
• Distributed Monetary Systems
• Aerospace and Defense
• Voice recognition