The NM25C04N is a high-performance, non-volatile memory product developed by Texas Instruments, a leading global semiconductor company.

• Product Type: This product is a 4K-bit serial EEPROM, which stands for Electrically Erasable Programmable Read-Only Memory
• Design: It has been designed for a wide range of applications that require low power consumption and high reliability, making it a versatile and robust solution for many industries
• Organization: The NM25C04N is organized as 512 x 8, meaning it can store 512 bytes of data, each consisting of 8 bits
• Operating Voltage and Interface: It operates under a wide voltage range, from 2.7V to 5.5V, and features a high-speed SPI compatible serial interface. This allows for fast data transfer and efficient communication with other devices
• Non-Volatile Memory: One of the key features of the NM25C04N is its ability to retain data even when the power supply is interrupted or switched off. This non-volatile nature of the memory ensures that critical data is not lost, making it an ideal choice for applications where data integrity is crucial
• Write Protection: The product also offers a write protection feature, which prevents accidental overwriting or erasure of data. This is particularly useful in applications where the stored data is sensitive or essential to the operation of the device
• Package: The NM25C04N is housed in an 8-pin DIP (Dual In-line Package), which makes it easy to install on a printed circuit board (PCB)
• Design for Harsh Conditions: It has been designed to withstand harsh operating conditions and has a high endurance of over 1 million write cycles, ensuring a long lifespan and reliable performance
• Applications: In terms of applications, the NM25C04N is suitable for a variety of sectors. It can be used in consumer electronics for storing user settings and preferences. In industrial applications, it can be used for storing calibration data, device IDs, and manufacturing data. In automotive applications, it can store error codes and operational data