A2F500M3G-CSG288I

This SoC is built on ARM? Cortex?-M3 core processor(s).

A core processor ARM? Cortex?-M3 is embedded in this SoC.The manufacturer assigns this system on a chip with a 288-TFBGA, CSPBGA package.A 64KB RAM SoC chip provides reliable performance to users.When it comes to internal architecture, this SoC design employs the MCU, FPGA technique.The SmartFusion? series contains this system on chip SoC.As a rule of thumb, the average operating temperature for this SoC meaning should be -40°C~100°C TJ.A significant feature of this SoC security is the combination of ProASIC?3 FPGA, 500K Gates, 11520 D-Flip-Flops.Featured in the state-of-the-art Tray package, this SoC system on a chip provides outstanding performance.MCU - 31, FPGA - 78 I/Os are included in this SoC part.A power supply with a 1.5V rating is recommended.The SoCs wireless is considered unreliable if the voltage exceeds 1.575V.There is a possibility that it can be powered by a power supply of at least 1.425V.FIELD PROGRAMMABLE GATE ARRAY can be re-configured to serve different design needs.It is really beneficial to have system on a chip since there are 288 terminations in total.The system on a chip capability is outstanding just like it is for other high-quality Field Programmable Gate Arrays.There is the option to have 78 outputs on this SoC chip.This system on chip SoC requires 1.51.82.53.3V power supply at all.The SoC chip offers 78 inputs.The flash is set to 512KB.Searching A2F500M3G will bring up system on chips with similar specs and purposes.80MHz is the wireless SoC's frequency.There is no doubt that the SoC meaning is based on the core architecture of ARM.

ARM? Cortex?-M3 processor.

64KB RAM.
Built on MCU, FPGA.
512KB extended flash.
Core Architecture: ARM

There are a lot of Microsemi Corporation

A2F500M3G-CSG288I System On Chip (SoC) applications.

• Defense
• Self-aware system-on-chip (SoC)
• Deep learning hardware
• Embedded systems
• Industrial robot
• Networked Media Encode/Decode
• ARM Cortex M4 microcontroller
• Efficient hardware for training of neural networks
• Sports
• Mobile market