Core Insights - The article emphasizes the importance of efficient data storage and processing capabilities in seizing technological advantages in the AI era, highlighting Docker-based MySQL as a preferred database solution for AI applications [1][3]. Group 1: Background and Technology Overview - The acceleration of digital transformation has made AI technology a core driver of economic and social development, necessitating robust data processing and storage capabilities to handle vast amounts of data generated during AI model training and operation [3]. - MySQL, as one of the most widely used open-source relational databases, is favored for its stability and efficiency, but traditional deployment methods have limitations in flexibility and resource utilization [3]. - Docker's containerization technology offers a new deployment solution for MySQL, enhancing resource efficiency and isolating environments to avoid conflicts, making it suitable for rapid iteration and parallel development in AI projects [3][4]. Group 2: Testing Configuration and Results - The testing environment for Docker-based MySQL included high-performance hardware, such as Intel® Xeon® Gold 6430 processors and PCIe Gen5 ESSD UH812a storage [5]. - Tests were conducted in three scenarios: read-only, write-only, and mixed read/write, with QoS thresholds set for IOPS and bandwidth to evaluate performance [9][14][18]. - In the read-only scenario, IOPS and bandwidth performance remained stable, with deviations from QoS thresholds controlled within 1% [9]. - In the write-only scenario, IOPS and bandwidth performance also showed minimal deviation from QoS thresholds, ensuring robust performance under high load [14]. - The mixed read/write scenario demonstrated exceptional resource management and performance, with deviations from QoS thresholds remaining below 1% [18]. Group 3: Benefits of Docker-based MySQL Solution - The Docker-based MySQL solution enhances storage utilization efficiency and reduces total cost of ownership (TCO) by allowing elastic resource allocation based on AI project needs [20]. - Data security is improved through independent storage units for different projects, preventing resource contention and ensuring stable operation of critical tasks [20]. - The solution simplifies data lifecycle management, reducing operational complexity and labor costs through quick data classification and backup operations [20]. Group 4: Conclusion - The company positions itself as a key player in driving data ecosystem innovation, focusing on high-efficiency storage solutions to support various AI applications and accelerate data value release [21]. - Future developments will continue to enhance storage solutions, enabling AI applications to reach new heights and fostering collaborative growth in data storage and intelligent applications [21].

Core Viewpoint - In the era of AI, efficient data storage and rapid retrieval are crucial for AI applications, with SSDs becoming key components due to their speed and stability. However, neutron radiation poses a hidden threat to data security and system stability in AI applications [1]. Group 1: Testing Background and Environment - Neutrons, as uncharged subatomic particles, can cause bit flips in SSDs when they penetrate storage units, potentially leading to data errors and model training biases in AI applications [2]. - Yilian is the only domestic SSD manufacturer that has passed neutron irradiation tests, collaborating with the China Spallation Neutron Source to validate the reliability of its PCIe Gen5 ESSD UH812a in high neutron radiation environments [2]. Group 2: Testing Results - In extreme simulated workloads, the Yilian UH812a SSD outperformed competitors, with an actual operating time of 416 seconds, which is 60% longer than domestic competitor B and 400% longer than international competitor A [9]. - The average hourly failure rate of the UH812a SSD is significantly lower than both its previous generation and competitors, indicating higher reliability and data protection capabilities [10][11]. Group 3: Data Protection Technologies - The Yilian UH812a SSD employs multiple data protection technologies, including enhanced LDPC error correction, intelligent error detection and correction (ECC), and uncorrectable error (UNC) protection mode, ensuring data security against neutron radiation threats [12][14]. - The LDPC algorithm provides a higher error correction capability, while the ECC mode monitors and corrects bit flip errors in real-time, and the UNC mode isolates error regions to prevent further data loss [12]. Group 4: Implications for Data Centers - Data centers located in high-altitude areas are at risk of neutron radiation affecting AI applications, leading to data errors and increased operational costs. The Yilian UH812a SSD mitigates these risks, ensuring stable operation of AI applications and reducing total cost of ownership (TCO) for users [15]. - By choosing Yilian's SSDs tested under harsh neutron conditions, companies can achieve more stable system operations, accurate data analysis, and lower maintenance costs, supporting digital transformation and technological innovation [15]. Group 5: Future Outlook - Yilian plans to continue innovating in the AI storage technology sector, optimizing product performance to meet the growing data storage demands of the AI era [16].