LCMXO2280E-4FT256C Overview

In the 256-LBGA package, you will find fpga chips. FPGAs of this type consist of FLASH PLD components. A total of 211 I/Os are programmed to ensure a more coherent data transfer. Logic elements/cells form the fundamental building block of a computer. The supply voltage is 1.2V volts. FPGA parts like this belong to the Field Programmable Gate Arrays family. An FPGA module can be attached to a development board with a Surface Mount-pin. A supply voltage of 1.14V~1.26V is needed in order for fpga chips to operate. It is a type of FPGA belonging to the MachXO seies. As far as the operating temperature is concerned, it should be kept within 0°C~85°C TJ when operating. There are 211 outputs incorporated in this device. As a space-saving measure, this FPGA model is contained within Tray. In total, it has 256 terminations on each end. This device is equipped with 28262 RAM bits in terms of its RAM si28262e. For related parts, use its base part number LCMXO2280. In order to make it work, 256 pins have been designed. This FPGA is built as an array of 285 LABs/CLBs. According to its specifications, this FPGA will be able to work fantastically as long as it is mounted in Surface Mount. In the case of 1.2V supply voltage, designers can take full advantage of its flexibility. This device has a pin count of 256 in fpga semiconductor. Fpga semiconductor is possible for this FPGA to reach speeds of up to 550MHz. In order to operate this device, a supply current of 20mA is used. There are 7 dedicated inputs used to detect the status of input signals. CPLDs are built and controlled by a number of macrocells, which is the main part of the device. In the SRAM memory, data is stored safely and resource conflicts are avoided.

LCMXO2280E-4FT256C Features

211 I/Os
Up to 28262 RAM bits
256 LABs/CLBs

LCMXO2280E-4FT256C Applications

There are a lot of Lattice Semiconductor Corporation LCMXO2280E-4FT256C FPGAs applications.

• Data center search engines
• Medical ultrasounds
• Industrial IoT
• Aerospace and Defense
• Data Mining
• OpenCL
• Ecosystem
• Server Applications
• DO-254
• Voice recognition