5CSEBA5U19A7N

This SoC is built on Dual ARM? Cortex?-A9 MPCore? with CoreSight? core processor(s).

There are Dual ARM? Cortex?-A9 MPCore? with CoreSight? core processors in this SoC.According to the manufacturer, this system on a chip has a package of 484-FBGA.The 64KB RAM implementation of this SoC chip ensures efficient performance for users.The internal architecture of this SoC design utilizes the MCU, FPGA technique.A system on chip SoC of this type belongs to the Automotive, AEC-Q100, Cyclone? V SE series.It is expected that this SoC meaning will operate at -40°C~125°C TJ on average.As one of the most important things to note is that this SoC security combines FPGA - 85K Logic Elements together.Featured in the state-of-the-art Tray package, this SoC system on a chip provides outstanding performance.This SoC part contains a total of MCU - 151, FPGA - 66 I/Os in total.A power supply with a 1.1V voltage rating should be utilized when using this system on chip SoC.The SoCs wireless is considered unreliable if the voltage exceeds 1.13V.If it has at least a 1.07V volt power supply, it can work fine.FIELD PROGRAMMABLE GATE ARRAY can be re-configured to serve different design needs.There are 484 terminations in total and that really benefits system on a chip.In the same way that other high-quality Field Programmable Gate Arrays will do, it is also capable of providing outstanding performance.The SoC chip that comes with this module can be configured to have 66 outputs.In order to operate system on chip, you will need 1.11.2/3.32.5V power supplies.66 inputs are available on the SoC chip.The logic system on chips contain 85000 logic cells.By searching 5CSEBA5, you can find system on chips with similar specs and purposes.

Dual ARM? Cortex?-A9 MPCore? with CoreSight? processor.

64KB RAM.
Built on MCU, FPGA.

There are a lot of Intel

5CSEBA5U19A7N System On Chip (SoC) applications.

• External USB hard disk/SSD
• Automated sorting equipment
• Efficient hardware for training of neural networks
• USB hard disk enclosure
• Avionics
• Healthcare
• Special Issue Information
• Efficient hardware for inference of neural networks
• Sports
• Cyberphysical system-on-chip