腾讯专有云TCE
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腾讯专有云TCE全新升级,公私同源+软硬开放+高可用性助力企业智算提速
Sou Hu Cai Jing· 2025-09-26 06:41
Core Insights - Tencent Cloud's proprietary cloud product TCE has launched a new version 3.10.11.4, enhancing intelligent computing infrastructure and supporting digital transformation for various sectors including finance and government [1] - The TCE product emphasizes a "public-private unified" architecture, leveraging mature public cloud technologies while catering to private clients, thus ensuring continuous improvement through real-world application [1][3] - The TCE high availability technology white paper outlines a comprehensive high availability framework, addressing the continuity and data security needs of enterprises transitioning to the cloud [5][6] Group 1: Technological Advancements - TCE has significantly reduced business interruption from hardware failures from "hour-level" to "millisecond-level" through its hot migration and fault migration capabilities [2] - The introduction of an integrated intelligent computing solution alleviates the "bottleneck effect" in AI training and inference, with network costs reduced by over 30% and data analysis efficiency improved by tenfold [2] - TCE's DPU solution integrates with domestic hardware, supporting AI infrastructure upgrades and achieving a recovery time objective (RTO) reduction from 30 minutes to 2 minutes, demonstrating high disaster recovery capabilities [3][6] Group 2: Market Applications and Client Success - TCE supports a flexible architecture that allows for small-scale initial setups and scalable expansions, as demonstrated by a rural commercial bank's transition from a single AZ to a dual AZ cloud platform [8] - The proprietary cloud has been successfully implemented in various sectors, including finance, manufacturing, and healthcare, showcasing its adaptability and effectiveness in real-world applications [10] - Tencent Cloud's PaaS platform TCS enhances resource utilization by 50%, facilitating a full-stack cloud-native transformation for a joint-stock bank across over 1,000 nodes [10]