M2S025TS-1VFG400T2
| Parameters | |
|---|---|
| Factory Lead Time | 1 Week |
| Lifecycle Status | IN PRODUCTION (Last Updated: 1 month ago) |
| Package / Case | 400-LFBGA |
| Operating Temperature | -40°C~125°C TJ |
| Packaging | Tray |
| Published | 2016 |
| Series | Automotive, AEC-Q100, SmartFusion®2 |
| Pbfree Code | yes |
| Part Status | Active |
| Moisture Sensitivity Level (MSL) | 3 (168 Hours) |
| Peak Reflow Temperature (Cel) | NOT SPECIFIED |
| Time@Peak Reflow Temperature-Max (s) | NOT SPECIFIED |
| Number of I/O | 207 |
| Speed | 166MHz |
| RAM Size | 64KB |
| Core Processor | ARM® Cortex®-M3 |
| Peripherals | DDR, PCIe, SERDES |
| Connectivity | CANbus, Ethernet, I2C, SPI, UART/USART, USB |
| Architecture | MCU, FPGA |
| Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY |
| Primary Attributes | FPGA - 25K Logic Modules |
| Flash Size | 256KB |
| RoHS Status | RoHS Compliant |
This SoC is built on ARM? Cortex?-M3 core processor(s).
This SoC is built on ARM? Cortex?-M3 core processor(s).This system on a chip is packaged as 400-LFBGA by the manufacturer.With 64KB RAM implemented, this SoC chip provides reliable operation.As far as its internal architecture is concerned, this SoC design employs the MCU, FPGA technique.Featured system on chip SoCs of the Automotive, AEC-Q100, SmartFusion?2 series.This SoC meaning should have an average operating temperature of -40°C~125°C TJ.A key point to note is that this SoC security combines FPGA - 25K Logic Modules.It comes in a state-of-the-art Tray package.This SoC part contains a total of 207 I/Os in total.The FIELD PROGRAMMABLE GATE ARRAY can be reconfigured to meet a variety of design requirements.There is a flash of 256KB.
ARM? Cortex?-M3 processor.
64KB RAM.
Built on MCU, FPGA.
256KB extended flash.
There are a lot of Microsemi Corporation
M2S025TS-1VFG400T2 System On Chip (SoC) applications.
- Industrial AC-DC
- AC-input BLDC motor drive
- Functional safety for critical applications in the aerospace
- Mobile computing
- Cyberphysical system-on-chip
- Efficient hardware for inference of neural networks
- Apple smart watch
- Flow Sensors
- Cyber security for critical applications in the aerospace
- Healthcare
