72V01L15JG8

FIFOs Memory Intersil (Renesas Electronics Corporation) 72V01L15JG8 Overview

The FIFOs Memory Intersil (Renesas Electronics Corporation) 72V01L15JG8 is a high-performance asynchronous FIFO memory designed for applications requiring efficient and reliable data buffering. This IC features a storage capacity of 512x9 bits and provides a quick data access time of 15 ns, housed in a compact 32-pin PLCC package. Engineered to support high-speed data communication and processing systems, the 72V01L15JG8 enhances system reliability by preventing data overrun and underrun in buffered data transfers. Its robust design and high-speed operation make it an ideal choice for a wide range of industrial and communication applications, where consistent and dependable data handling is critical.

72V01L15JG8 Features

The 72V01L15JG8 boasts several key features that make it stand out in its category:

• High Storage Capacity: 512x9 bits, allowing for substantial data queue management.
• Fast Access Time: 15 ns access time ensures rapid retrieval and storage of information, critical for high-speed applications.
• Compact Form Factor: Encased in a 32PLCC package, it offers a space-efficient solution without compromising on performance.
• Asynchronous Operation: This feature facilitates easier integration into a variety of system architectures without synchronization issues.

72V01L15JG8 Applications

• Telecommunications: Utilized in data buffering for network switches and routers, enhancing performance by managing data flow efficiently.
• Video Processing: Acts as a buffer in video capture systems, ensuring smooth data handling between processing units and storage arrays.
• Industrial Control Systems: Improves reliability and response times in control systems by managing interim data effectively.
• Medical Imaging Equipment: Supports high-speed data transfers required in medical imaging, facilitating faster and more accurate image processing.
• Server Farms: Used in server farms to manage data exchange, reducing latency and increasing throughput in large-scale server environments.