Core Insights - The article discusses the evolution of infrastructure in the gaming industry driven by the wave of AI, particularly focusing on how NetEase Games is leveraging large models to enhance user experience and operational efficiency [2][3]. Group 1: AI Integration in Gaming - NetEase Games has developed a comprehensive ecosystem with popular titles like "Fantasy Westward Journey" and "Party of Eggs," necessitating advanced data handling capabilities due to the increasing complexity of user demands [3]. - The introduction of large models is transforming the gaming sector, particularly in areas such as NPC intelligence, automated storyline generation, and asset creation, making it a core competitive advantage [3]. Group 2: Challenges in Large Model Inference - The scarcity and high cost of high-end GPU resources pose significant challenges, requiring minute-level elasticity in resource allocation to avoid long-term resource wastage [8]. - Resource wastage can exceed 60% when accommodating peak loads across different gaming services, highlighting the inefficiencies in current resource management [9]. - Serverless cold start delays, particularly for large models, can take 10-15 minutes, negating the benefits of elasticity [10]. Group 3: Solution Selection - The article evaluates the choice between deploying Alluxio directly versus building a complete solution with Fluid, emphasizing the need for a robust data orchestration platform [12][13]. - Fluid is positioned as a cloud-native data orchestration platform that integrates deeply with Kubernetes, offering a more suitable abstraction for AI applications compared to Alluxio's file system approach [15][19]. Group 4: Implementation and Benefits - A three-layer decoupled architecture was established, consisting of a storage layer (CubeFS/OSS), an acceleration layer (Fluid + AlluxioRuntime), and a computing layer (Kubernetes clusters) [20]. - The implementation of Fluid has led to significant performance improvements, including a 12-fold acceleration in startup times for large models, making serverless computing viable [28][33]. - Cost savings have been realized through the elimination of resource fragmentation and improved GPU utilization, reducing idle rates by approximately 20% [29][33]. Group 5: Future Outlook - The successful application of Fluid in NetEase Games serves as a model for the gaming industry, demonstrating how modernized infrastructure can support AI-driven experiences [34]. - The article concludes that a data-centric architecture is essential for companies aiming to enhance efficiency and competitiveness in an increasingly intelligent and personalized gaming landscape [34].