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阿里云海外降价,部分云服务器ECS产品最高降价10%
Di Yi Cai Jing· 2025-10-14 07:16
根据公告,此次调价产品的规格族包括ecs.c9i、ecs.g9i、ecs.r9i、ecs.ebmc9i、ecs.ebmg9i、ecs.ebmr9i,阿里云对相应产品 的包月价、包年价格及节省计划进行了普降,以ecs.g9i产品为例,该产品在法兰克福降价10.26%,在东京降价7.89%,迪 拜降价9.64%。 尽管本次降价的范围并不大,但能够从中窥见阿里云进攻海外市场的野心。 阿里云再度开启了海外市场的降价攻势。 阿里云官网公告显示,自北京时间10月30日起,阿里云部分云服务器ECS产品价格将在法兰克福、东京、迪拜进行价格下 调,降幅最高达到10.26%。 用更多基础设施的投入和AI产品来抢占海外市场正在成为阿里云全球化的一项重要战略,AI产品的价格战或许将成为其中 的一个缩影。 | 地域 | 规格族 | 官网包月 | | | 官网包年价格 | | | | 节首计划 | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | 价格 | | | | | | | | | | | | | 1年 | 2年 | 3年 | 4 ...
AI算力秩序重建,Arm走向中心
半导体芯闻· 2025-05-30 10:08
Core Insights - The article emphasizes that Arm is transitioning from being an architecture provider to a key player in shaping the "AI computing paradigm" as major tech companies migrate their AI platform architectures to Arm [1][16]. Group 1: AI and Edge Computing - The feasibility of edge AI has been validated, with over 150 foundational models emerging in the past 18 months, enabling AI deployment on devices like smartphones and robots [3][4]. - Arm's architecture is gaining traction due to its low power consumption and high efficiency, with approximately 70% of AI workloads still relying on CPUs, highlighting the importance of Arm in AI inference processes [4][5]. Group 2: Data Center and Cloud Services - Arm predicts that by 2025, nearly half of the computing power shipped to major cloud service providers will be based on Arm architecture, reflecting its growing acceptance in the data center market [7][9]. - The energy demands of AI are reshaping data center designs, with Arm's architecture offering up to 40% energy efficiency improvements compared to other platforms, making it a preferred choice for cloud service providers [7][9]. Group 3: Hardware and Software Integration - Arm's introduction of the "Compute Subsystem" (CSS) aims to enhance performance and reduce costs across various markets, including cloud and consumer electronics [10][11]. - The Kleidi software library, with over 8 billion installations, has become a key driver for accelerating AI workloads and has integrated with major AI frameworks, fostering a positive feedback loop between hardware and software [11][12]. Group 4: Future Developments - Arm is set to release its next flagship CPU, code-named Travis, which will further enhance IPC performance and introduce scalable matrix extensions for AI workloads [12][15]. - Although Arm has not yet entered the data center GPU market, its influence in edge computing and automotive sectors is growing, positioning it as a significant player in the AI landscape [15][16].