AT25DN512C-SSHF-B - Adesto Technologies

Manufacturer Part Number

AT25DN512C-SSHF-B

Manufacturer

Renesas Electronics America

Introduction

The AT25DN512C-SSHF-B is a high-performance, low-power 512Kbit serial flash memory device from Renesas Electronics America. It offers reliable non-volatile data storage with a wide operating temperature range, making it suitable for a variety of applications.

Product Features and Performance

512Kbit (64K x 8) memory capacity

SPI serial interface with clock speeds up to 104MHz

Fast write cycle times: 8μs for word write, 1.75ms for page write

3V to 3.6V operating voltage range

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

100,000 erase/write cycle endurance

20-year data retention

Product Advantages

High-speed SPI interface for efficient data transfer

Low power consumption for battery-powered applications

Wide temperature range for industrial and automotive use

Reliable non-volatile storage with excellent endurance and data retention

Key Reasons to Choose This Product

Robust performance and reliability for mission-critical applications

Optimized for low-power, space-constrained designs

Seamless integration with microcontrollers and embedded systems

Cost-effective solution for high-volume applications

Quality and Safety Features

Rigorous quality control and testing procedures

Compliance with industry-standard safety and environmental regulations

Compatibility

The AT25DN512C-SSHF-B is compatible with standard SPI serial flash memory interfaces, allowing easy integration into a wide range of embedded systems and applications.

Application Areas

Industrial automation and control systems

Automotive electronics

Consumer electronics

Portable devices

Internet of Things (IoT) applications

Product Lifecycle

The AT25DN512C-SSHF-B is an active product, and our website's sales team continues to offer this model. There are no immediate plans for discontinuation. Customers can contact our website's sales team for more information on available alternatives or equivalent models.