Revolutionizing AI Robotics: Ferri Solutions for Real-Time Data and Durability
March 06, 2025
Whitepaper
Revolutionizing AI Robotics with Ferri Embedded Storage
The advancement of AI-powered robotics demands efficient computing and storage solutions to support real-time data processing, autonomous decision-making, and adaptability in dynamic environments. Unlike traditional robots operating in controlled settings, modern AI-driven robots must process vast sensor inputs, execute machine learning algorithms, and function reliably in unpredictable given conditions. This requires high-speed, power-efficient, and durable storage to ensure continuous, real-time data access and processing.
In this white paper, we will discuss how Silicon Motion’s Ferri Family of embedded storage solutions, including FerriSSD, Ferri-eMMC, and Ferri-UFS, optimizes AI robotics performance. These solutions enable machine vision, real-time obstacle detection, and path planning with low-latency data retrieval and high endurance. Features like IntelligentScan™️ with DataRefresh and NANDXtend®️ ECC enhance data integrity, while IntelligentThermal™️ and dynamic power management improve energy efficiency, crucial for battery-powered systems.
As AI robots take on complex tasks, storage efficiency becomes critical to performance. Secure memory solutions with AES 256-bit encryption and IntelligentGuard™️ protect against data corruption and cyber threats. With compact, high-reliability designs, Ferri’s embedded storage supports AI robotics in achieving faster processing, enhanced security, and greater operational reliability across industrial, healthcare, and service applications.
