Zhong Jin Zai Xian·2025-10-24 06:21Core Insights - Gartner identifies AI supercomputing platforms as the top strategic technology trend for 2026, integrating various computing paradigms to manage complex workloads [1] - By 2028, over 40% of leading enterprises are expected to adopt hybrid computing paradigms, a significant increase from the current 8% [1] - The shift towards hybrid computing is driven by the need to mitigate risks associated with reliance on single types of chips, making it a necessity for AI strategies [1] Industry Challenges - The transition in computing architecture is necessary as AI's role grows, requiring a shift from CPU-centric to GPU-centric infrastructures [2] - Utilization rates of computing resources in unoptimized hybrid environments are generally below 40%, leading to inefficiencies [2] - The complexity of hybrid architectures increases exponentially from experimental to production systems, often exceeding the capabilities of most technical teams [2] Company Solutions - JoyScale AI computing platform aims to address the challenges of hybrid computing by providing a comprehensive service model rather than merely aggregating resources [3] - JoyScale enhances AI task deployment density and overall resource utilization by 70% through intelligent scheduling and compatibility with various domestic computing resources [5] - The platform is designed to meet stringent security and compliance requirements, ensuring data safety and performance stability [6] Market Adoption - As AI applications mature, competition in computing infrastructure is shifting from scale to systematic competition, with a focus on resource utilization and cost [7] - JoyScale has been adopted by numerous leading state-owned enterprises, demonstrating its effectiveness in pooling dispersed GPU resources and significantly improving utilization rates [7] - The platform supports a comprehensive product matrix for large model deployment, facilitating rapid implementation of AI applications in complex scenarios [7]