MX25V8006EM1I-13G - Macronix

Manufacturer Part Number

MX25V8006EM1I-13G

Manufacturer

Macronix

Introduction

The MX25V8006EM1I-13G is a high-performance, low-power, serial flash memory chip with a capacity of 8Mbit. It features a SPI interface and supports a wide range of operating voltages and temperatures, making it suitable for a variety of applications.

Product Features and Performance

8Mbit of non-volatile memory with FLASH NOR technology

1M x 8 memory organization

SPI interface with a clock frequency up to 75 MHz

Fast write cycle times of 300 μs for word and 5 ms for page

Wide operating voltage range of 2.35V to 3.6V

Wide operating temperature range of -40°C to 85°C

Product Advantages

High-speed SPI interface for fast data transfer

Low power consumption

Wide voltage and temperature range for versatile applications

Reliable FLASH NOR technology for data retention

Key Reasons to Choose This Product

Robust and reliable performance for critical applications

Flexible configuration options to meet diverse design requirements

Cost-effective solution for embedded systems and IoT devices

Trusted Macronix brand with a strong reputation in the memory market

Quality and Safety Features

Rigorous quality control and testing processes

Compliance with industry standards and safety regulations

RoHS-compliant for environmental sustainability

Compatibility

The MX25V8006EM1I-13G is compatible with a wide range of electronic devices and systems that require a high-performance, low-power serial flash memory solution.

Application Areas

Embedded systems

Industrial automation

Consumer electronics

Internet of Things (IoT) devices

Automotive electronics

Medical equipment

Product Lifecycle

The MX25V8006EM1I-13G is currently in production and is not scheduled for discontinuation. There are equivalent or alternative models available, such as the MX25V8006E and MX25V8006EM1I. Customers are advised to contact our website's sales team for more information on the availability and suitability of these alternative models.