Deepseek Outage Highlights Instability in Large Language Models
This paper analyzes the technical reasons behind the intermittent downtime of Deepseek, proposes corresponding strategies, and interprets the AI industry development trends reflected by these issues. It focuses on problems related to concurrency, load, and upgrades. The analysis aims to provide insights into ensuring the stability of large language models in practical applications, especially in demanding sectors like cross-border e-commerce, where reliable AI services are crucial for business operations. Understanding and addressing these stability challenges is vital for the continued growth and adoption of AI technologies.









