IDT71V25761YSA200BQI8

Memory Intersil (Renesas Electronics Corporation) IDT71V25761YSA200BQI8 Overview

The Memory Intersil (Renesas Electronics Corporation) IDT71V25761YSA200BQI8 is a high-performance IC SRAM with a storage capacity of 4.5 Mbit, housed in a 165CABGA package. This product is designed to meet the rigorous demands of high-speed data environments, providing robust storage solutions with exceptional reliability and speed. Its advanced design features make it suitable for a wide range of applications, particularly in sectors requiring rapid access to large volumes of data, such as telecommunications and computing. The IDT71V25761YSA200BQI8 stands out for its ability to support intensive operations without compromising on performance, making it a prime choice for businesses seeking to enhance their technology infrastructure.

IDT71V25761YSA200BQI8 Features

This IC SRAM boasts a high storage capacity of 4.5 Mbit, allowing extensive data management within a compact footprint. Its parallel interface facilitates quick data access and processing, essential for applications requiring high-speed data throughput. The 165CABGA package is designed for optimal thermal management, ensuring reliable performance under varying operational conditions. Additionally, the device is characterized by its low power consumption, making it an economical choice for energy-conscious projects.

IDT71V25761YSA200BQI8 Applications

• Telecommunications: Utilized in switches and routers for buffering and high-speed data caching, enhancing the efficiency and responsiveness of network infrastructure.
• Networking Equipment: Serves as critical memory storage for network processors, improving the handling of complex data packets and supporting advanced network services.
• Industrial Automation: Provides dependable data storage and quick access in industrial control systems, crucial for real-time processing and system management.
• High-performance Computing: Acts as fast-access scratchpad memory in servers and computing arrays, crucial for processing large datasets and complex calculations rapidly.