LFSC3GA80E-6FCN1704I Overview

Fpga chips is supplied in the 1704-BCBGA, FCBGA package. Fpga chips consists of FIELD PROGRAMMABLE GATE ARRAY elements. This device features 904 I/Os in order to transfer data in a more efficient manner. Logic blocks consist of 80000 logic elements/cells. An electrical supply voltage of 1.2V powers it. FPGA parts like this belong to the Field Programmable Gate Arrays family. An attachment Surface Mount allows the FPGA module to be attached to the development board. Fpga chips operates wFpga chipsh a supply voltage of 0.95V~1.26V. As part of the SC series of FPGAs, it is a type of FPGA. While operating, the operating temperature should be kept within a range of -40°C~105°C TJ. This device is equipped with 904 separate outputs, which makes it a very versatile device. This FPGA model is contained in Tray for space saving. As far as the RAM bits are concerned, this device offers you a total of 5816320. Parts related to this part can be found using its base part number LFSC3GA80. The RAM si710kBe of this FPGA module reaches 710kB so as to guarantee the normal operation of the program during operation. This cable has 1704 pins and is designed to connect to a computer. 20000 LABs and CLBs are built into this FPGA. In order for this FPGA to work properly in accordance with its specifications, it is necessary that it is mounted in Surface Mount. The 1.2V supply voltage provides designers with full flexibility in their designs. Power is provided by a 1.21.2/3.32.5V battery that is included with the device. An architecture consists of 308 CLBs. This FPGA can get as fast as 700MHz. For the building block, it encompasses 80100 logic cells that make up the logic circuit.

LFSC3GA80E-6FCN1704I Features

904 I/Os
Up to 5816320 RAM bits
1704 LABs/CLBs

LFSC3GA80E-6FCN1704I Applications

There are a lot of Lattice Semiconductor Corporation LFSC3GA80E-6FCN1704I FPGAs applications.

• Solar Energy
• Medical ultrasounds
• Medical imaging
• Audio
• Camera time adjustments
• Artificial intelligence (AI)
• Bioinformatics
• Automotive driver's assistance
• Voice recognition
• Industrial IoT