Manufacturer Part Number
CY7C1520KV18-250BZCT
Manufacturer
Infineon Technologies
Introduction
The CY7C1520KV18-250BZCT is a high-performance, low-power 72Mbit synchronous SRAM (SSRAM) module from Infineon Technologies. Designed for a wide range of applications, this SRAM offers fast access times, flexible memory organization, and reliable operation in various environmental conditions.
Product Features and Performance
72Mbit memory capacity
2M x 36 memory organization
Synchronous SRAM (SSRAM) technology
DDR II interface with 250MHz clock frequency
Fast access times and low latency
Supports 1.7V to 1.9V supply voltage range
Operating temperature range of 0°C to 70°C (TA)
165-LBGA surface mount package
Product Advantages
High-density memory solution for advanced applications
Efficient data storage and retrieval with DDR II interface
Low power consumption for battery-powered devices
Reliable operation in a wide range of environmental conditions
Key Reasons to Choose This Product
Exceptional performance and capacity for demanding applications
Flexible memory organization to suit various system requirements
Energy-efficient design for extended battery life in portable devices
Proven reliability and quality from a trusted semiconductor manufacturer
Quality and Safety Features
Rigorous quality control and testing processes
Compliance with industry standards and safety regulations
Compatibility
The CY7C1520KV18-250BZCT is compatible with a wide range of electronic devices and systems that require high-capacity, high-performance synchronous SRAM.
Application Areas
Networking and telecommunications equipment
Computer and server memory systems
Industrial automation and control systems
Embedded systems and IoT devices
Military and aerospace applications
Product Lifecycle
The CY7C1520KV18-250BZCT is an active product in our website's sales team's portfolio. There are no immediate plans for discontinuation. Customers are advised to contact our website's sales team for any questions or inquiries about this product or potential alternative models.