LFE3-70EA-9FN672C Overview
The package that contains this software is called 672-BBGA. An FPGA of this type is made up of FIELD PROGRAMMABLE GATE ARRAY gates. Having 380 I/Os makes data transfers more coherent. To form a fundamental building block, there are 67000 logic elements/cells. It is powered from a supply voltage of 1.2V. There is a Field Programmable Gate Arrays family component in this FPGA part. The Surface Mount-slot connector on the FPGA module can be connected to the development board. A supply voltage of 1.14V~1.26V is needed in order for fpga chips to operate. The FPGA belongs to the ECP3 series of FPGAs, and it is one 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. A device such as this one has 380 outputs built into it. A model of this FPGA is contained in Tray for the purpose of saving space. There are a total of 672 terminations. Fpga chips is important to note that this device has a RAM capacFpga chipsy of 4526080 bFpga chipss. Its base part number LFE3-70 can be used to find parts that are related to it. It is crucial that the RAM si552.5kBe of this FPGA module reaches 552.5kB so that the program can run normally. In order to make it work, 672 pins have been designed. 8375 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. In the case of 1.2V supply voltage, designers can take full advantage of its flexibility. With a total of 672 pins, it is equipped with a high level of security. Most of the time, it uses a crystal oscillating at 500MHz to generate the signal.
LFE3-70EA-9FN672C Features
380 I/Os
Up to 4526080 RAM bits
672 LABs/CLBs
LFE3-70EA-9FN672C Applications
There are a lot of Lattice Semiconductor Corporation LFE3-70EA-9FN672C FPGAs applications.
- Embedded Vision
- Industrial IoT
- Wired Communications
- Audio
- Security systems
- Image processing
- Voice recognition
- Data Mining
- Automotive
- Solar Energy
