AT17LV256-10JI

[Configuration Proms for FPGAs] Overview

Introducing the AT17LV256-10JI, a cutting-edge CONFIG MEMORY solution meticulously crafted by Atmel (Microchip Technology) to meet the demanding requirements of modern FPGA configurations. This high-performance memory module stands as a testament to innovation, reliability, and versatility, providing engineers with a paramount tool to streamline their FPGA programming processes.

With a capacity of 256KX1, this CONFIG MEMORY device empowers developers to efficiently store and retrieve configuration data, facilitating seamless integration within FPGA systems. Its robust design ensures exceptional durability and performance consistency, making it an indispensable asset for mission-critical applications.

AT17LV256-10JI Features

• High Capacity: The AT17LV256-10JI boasts a spacious 256KX1 memory, offering ample storage for FPGA configuration data.
• Reliable Performance: Engineered by Atmel (Microchip Technology), this memory module guarantees dependable operation even in challenging environments.
• Fast Access Time: With swift access times, developers can expedite configuration processes, optimizing overall system efficiency.
• Durable Construction: Built to withstand rigorous conditions, the AT17LV256-10JI ensures long-term reliability and resilience.
• Compatibility: Designed for seamless integration with FPGA systems, this memory device simplifies development workflows.

AT17LV256-10JI Applications

• Industrial Automation: Leveraging its high capacity and reliability, the AT17LV256-10JI is ideal for configuring FPGAs used in industrial control systems, ensuring smooth and precise automation processes.
• Telecommunications Infrastructure: In telecommunications networks, this memory module facilitates rapid FPGA reconfiguration, enhancing network flexibility and scalability to meet evolving demands.
• Medical Devices: Within medical equipment, such as imaging systems and diagnostic instruments, the AT17LV256-10JI plays a crucial role in configuring FPGAs for real-time data processing, contributing to improved patient care and diagnostic accuracy.
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