CY7C1380D-167BZCT

Memory Infineon Technologies CY7C1380D-167BZCT Overview

The Infineon Technologies CY7C1380D-167BZCT is a high-performance 18Mbit SRAM module, engineered to meet the rigorous demands of modern electronic environments. This SRAM features a parallel interface and is encapsulated in a compact 165FBGA package, making it ideal for applications requiring high-speed data access and storage. With its robust build and advanced technology, the Memory Infineon Technologies CY7C1380D-167BZCT provides a reliable solution for systems demanding high memory bandwidth and low latency, thus enabling enhanced system performance and efficiency crucial for B2B clients aiming for mass deployment in various high-tech scenarios.

CY7C1380D-167BZCT Features

The CY7C1380D-167BZCT from Infineon Technologies comes packed with features suited for demanding applications. It supports a fast access time configuration, ensuring swift retrieval and storage of data. The 165FBGA package is designed for space-efficient mounting, while its parallel interface facilitates high-speed communications. Moreover, this module's low power consumption makes it suitable for energy-sensitive projects, providing an optimal blend of performance and power efficiency.

CY7C1380D-167BZCT Applications

• Networking Equipment: Utilized in routers and switches for buffer memory, facilitating fast packet storage and retrieval, which is critical for maintaining high network performance.
• Telecommunication Systems: Applied in telecommunication infrastructure to manage real-time data exchanges, ensuring efficient and uninterrupted communication flows.
• Industrial Automation: Essential in automated control systems for real-time processing and data logging, enhancing operational reliability and precision.
• Automotive Electronics: Used in advanced driver-assistance systems (ADAS) to handle high volumes of data from vehicle sensors, aiding in quicker decision making and improving vehicle safety.
• High-Performance Computing: Integral in data centers for cache memory, improving processing speed and handling large datasets effectively.