EP3C10M164C8N

EP3C10M164C8N Overview

There is a BGA package that includes this component. In this kind of FPGA, FIELD PROGRAMMABLE GATE ARRAY is used. 106 I/Os are available for transferring data more efficiently. A fundamental building block is made up of 10320 logic elements/cells. It is powered from a supply voltage of 1.2V. The Field Programmable Gate Arrays family of FPGAs includes this part. In order to make this device as versatile as possible, there are 106 different outputs included. The total number of terminations is 164. During the configuration of this FPGA module, the RAM si51.8kBe reaches 51.8kB to ensure that the program runs normally. In this case, 164 pins are used in the design. 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. A 1.2V-volt supply allows designers to fully utilize its flexibility. Powered by a 1.2/3.3V power supply, it can be operated by almost anyone. The maximal operating temperature of this module reaches 85°C. Fpga electronics is recommended that the operating temperature be higher than 0°C. Fpga semiconductor is equipped wfpga semiconductorh 164 pin count. The basic building block of the system is composed of 645 logic blocks (LABs). In this FPGA module, there is a memory of 51.8kB that can be used to store programs and data. Powered by a 402MHz-frequency motor, it delivers high efficiency. Fpga semiconductor supports the maximal supply voltage of 1.25V. With a minimum supply voltage of 1.15V, it can operate. There is a maximum frequency of around 315MHz that can be reached by this FPGA.

EP3C10M164C8N Features

106 I/Os
164 LABs/CLBs
85°C gates
645 logic blocks (LABs)
Operating from a frequency of 402MHz

EP3C10M164C8N Applications

There are a lot of Altera EP3C10M164C8N FPGAs applications.

• Wireless Communications
• Medical Electronics
• Camera time adjustments
• Filtering and communication encoding
• Artificial intelligence (AI)
• Embedded Vision
• Enterprise networking
• Data Mining
• Data center hardware accelerators
• OpenCL