Manufacturer Part Number
MX25U3232FZBI02
Manufacturer
Macronix
Introduction
The MX25U3232FZBI02 is a high-performance, low-power, 32Mbit (4M x 8) SPI NOR flash memory from Macronix. It features Quad I/O and QPI interface options, providing fast data transfer rates up to 133MHz. This flash memory is designed for a wide range of embedded applications that require reliable, non-volatile data storage.
Product Features and Performance
32Mbit (4M x 8) storage capacity
SPI NOR flash memory with Quad I/O and QPI interfaces
Data transfer rates up to 133MHz
Low power consumption
Wide operating temperature range of -40°C to 85°C
40µs word program time and 3ms page program time
Supports 1.65V to 2.0V supply voltage
Product Advantages
High-speed data transfer for efficient system performance
Low power operation for battery-powered applications
Wide temperature range for use in diverse environmental conditions
Reliable non-volatile data storage for critical applications
Key Reasons to Choose This Product
Industry-leading performance and power efficiency
Compatibility with a wide range of embedded systems
Robust and reliable operation in challenging environments
Extensive experience and expertise of Macronix in flash memory technology
Quality and Safety Features
Rigorous quality control and testing processes
Compliance with industry standards and regulations
Robust ESD protection for safe handling and installation
Compatibility
The MX25U3232FZBI02 is compatible with various embedded systems and microcontrollers that support SPI NOR flash memory interfaces.
Application Areas
Industrial automation and control systems
Automotive electronics
Consumer electronics
Internet of Things (IoT) devices
Medical equipment
Telecommunications equipment
Product Lifecycle
The MX25U3232FZBI02 is an active and currently available product. There are no immediate plans for discontinuation, and support and supply for this product continue. Customers are advised to contact our website's sales team for information on any potential equivalent or alternative models that may become available in the future.