LFE2-12SE-6QN208I Overview

A 208-BFQFP package is provided with this component. The FIELD PROGRAMMABLE GATE ARRAY-series of FPGAs are composed of this type. Having 131 I/Os makes data transfers more coherent. A fundamental building block consists of 12000 logic elements/cells. Supply voltage is 1.2V volts. In this case, the FPGA part belongs to the Field Programmable Gate Arrays family. An FPGA module can be attached to a development board with a Surface Mount-pin. This device is powered by a 1.14V~1.26V battery. This is a type of FPGA that is part of the ECP2 series of FPGAs. During the operation of the system, the operating temperature should remain within the range of -40°C~100°C TJ. The device has 131 outputs that are integrated into it. Unlike other FPGA models, this one is contained in Tray for the sake of space saving. There are a total of 208 terminations. A device like this one offers 226304 RAM bits, which is a considerable amount of memory. Its base part number LFE2-12 can be used to find parts that are related to it. The RAM si27.6kBe of this FPGA module reaches 27.6kB so as to guarantee the normal operation of the program during operation. In this case, there are 208 pins on the board. A total of 1500 LABs/CLBs make up this FPGA array. In my opinion, this FPGA could produce fantastic results if mounted in Surface Mount, provided that its specifications are followed. The 1.2V supply voltage provides designers with full flexibility in their designs. Featuring 208 pins in total, it is a versatile device. In this FPGA module, there is a memory of 30.6kB that can be used to store programs and data. A FPGA of this type can achieve a speed as high as 320MHz.

LFE2-12SE-6QN208I Features

131 I/Os
Up to 226304 RAM bits
208 LABs/CLBs

LFE2-12SE-6QN208I Applications

There are a lot of Lattice Semiconductor Corporation LFE2-12SE-6QN208I FPGAs applications.

• Integrating multiple SPLDs
• ASIC prototyping
• Automotive driver's assistance
• Automotive
• Development Boards and Shields for Microcontrollers
• High Performance Computing
• Artificial intelligence (AI)
• Bioinformatics
• Computer hardware emulation
• Data center hardware accelerators