A54SX72A-FG484I Overview

In the package 484-BGA, this product is provided. 360 I/Os are available for transferring data more efficiently. Logic blocks consist of 6036 logic elements/cells. An FPGA module can be attached to a development board with a Surface Mount-pin. A supply voltage of 2.25V~5.25V is needed in order for fpga chips to operate. An FPGA belonging to the SX-A series is referred to as an FPGA. Fpga chips is recommended that the operating temperature be kept wFpga chipshin the range -40°C~85°C TA while the machine is operating. As a result of space limitations, this FPGA model has been included in Tray. In order to find related parts, use the part number A54SX72A as a base. It has a total of 484 pins that are designed for it. The FPGA is built as an array of 6036 latches or CLBs. As long as this FPGA is mounted in Surface Mount, it should be able to function as it should in terms of its specifications, as well as its capabilities. Its flexibility can be fully utilized when operating with a 2.5V supply voltage. There is a maximum operating temperature of 85°C for this module. The operating temperature should be higher than -40°C. Fpga semiconductor is made up of 108000 gates as fpga semiconductors basic building block. A basic building block of this system consists of 6036 logic blocks (LABs). Fpga semiconductor is important to note that the data is stored and transferred in 4024 different registers. With a frequency of 217MHz, it delivers high efficiency. A maximum voltage of 2.75V can be supplied to it. A minimal supply voltage of 2.25V is required for it to operate. It is possible to achieve a speed of up to 217MHz with this FPGA. Its supplier package is called 484-FPBGA (27X27).

A54SX72A-FG484I Features

360 I/Os
484 LABs/CLBs
85°C gates
6036 logic blocks (LABs)
4024 registers
Operating from a frequency of 217MHz

A54SX72A-FG484I Applications

There are a lot of Microsemi Corporation A54SX72A-FG484I FPGAs applications.

• Industrial IoT
• Medical Applications
• Solar Energy
• Broadcast
• Medical ultrasounds
• Bioinformatics
• Data center hardware accelerators
• Data Mining
• Radar and Sensors
• OpenCL