EPM570ZM256C6N - ALTERA

Manufacturer Part Number

EPM570ZM256C6N

Manufacturer

intel

Introduction

The intel EPM570ZM256C6N is a high-performance, low-power embedded CPLD (Complex Programmable Logic Device) that offers a variety of advanced features and capabilities. This device is part of the MAX® II series, designed to provide efficient and flexible logic implementation for a wide range of embedded applications.

Product Features and Performance

570 logic elements/blocks

440 macrocells

160 I/O

9 ns maximum delay time (tpd(1))

71V ~ 1.89V internal voltage supply

In-system programmable

Operating temperature range of 0°C to 85°C (TJ)

Surface mount package (256-TFBGA)

Product Advantages

High logic density and flexibility for complex design implementation

Low power consumption for power-sensitive applications

In-system programmability for easy design updates and modifications

Wide operating temperature range for use in diverse environments

Key Reasons to Choose This Product

Exceptional performance and efficiency for embedded applications

Flexible and scalable architecture to meet varying design requirements

Seamless integration and compatibility with other intel components

Reliable and long-lasting solution backed by intel's reputation

Quality and Safety Features

Rigorous quality control and testing processes

Compliance with industry standards and safety regulations

Compatibility

The intel EPM570ZM256C6N is compatible with a wide range of embedded systems and can be integrated into various applications.

Application Areas

Industrial automation and control systems

Telecommunications and networking equipment

Medical devices and instrumentation

Transportation and automotive electronics

Consumer electronics and home appliances

Product Lifecycle

The intel EPM570ZM256C6N is an active product, and there are no immediate plans for discontinuation. However, as technology evolves, customers are advised to contact our website's sales team for the latest information on available options and potential alternative models.