英伟达发布了一款名为DSX POD的新型人工智能数据中心系统，旨在帮助企业更快地开始使用其人工智能（AI）系统并赚取收入。该公司希望缩短客户等待其AI基础设施投入运行的时间。英伟达周三在柏林举行的GTC大会上推出了DSX POD。这是一种现成的AI数据中心设计方案，可以安置在大小约相当于一个标准集装箱的结构内。
Nvidia has unveiled a new AI data center system called DSX POD that aims to help companies start using their artificial intelligence (AI) systems and earn revenue faster. The company wants to reduce the time customers spend waiting for their AI infrastructure to become operational. The company introduced DSX POD at its GTC event in Berlin on Wednesday. It is a ready-made design for an AI data center that can fit inside a structure about the size of a standard shipping container.
英伟达AI数据中心将部署时间缩短至14天。英伟达表示，DSX POD可以将AI数据中心的部署时间从六个月缩短到仅14天。该系统设计为运抵现场后即可连接现有的电力、冷却和网络基础设施。这可能帮助企业更快地开始运行其AI系统。建造传统数据中心可能需要数月甚至数年时间。在数据中心投入运行并开始处理AI token之前，企业无法从AI服务中赚取收入。token是AI模型处理以理解和生成信息的数据单位。延迟会增加成本，因为企业在等待设施投入运行期间仍需持续花钱。
Nvidia AI data center cuts setup time to 14 daysNvidia says DSX POD can cut AI data center deployment time from six months to just 14 days. The system is designed to arrive at the site ready to connect to existing power, cooling and networking infrastructure. This could help companies start running their AI systems much sooner. Building a traditional data center can take months or even years. Companies cannot start earning revenue from AI services until their data centers are operational and begin processing AI tokens, which are units of data that AI models process to understand and generate information. Delays can increase costs because companies continue spending money while waiting for their facilities to become operational.
SpaceX股价大涨10%，营收激增161%至146亿美元，埃隆·马斯克权衡与特斯拉合并。DSX POD帮助企业更快构建AI基础设施。DSX POD被设计为一种更快、更灵活的选择，适合需要快速获得AI算力的企业。其模块化设计可以让企业上线额外的计算基础设施，而无需等待一个完整的传统数据中心建成。英伟达首席执行官黄仁勋表示，缩短AI数据中心投入运行所需的时间可能是一项重大突破。黄仁勋在接受迪尔德丽·博萨采访时解释说，目前安装这些大型AI设施需要数月时间。
SpaceX stock jumps 10% as revenue surges 161% to $14.6 billion and Elon Musk weighs Tesla mergerDSX POD helps companies build AI infrastructure fasterDSX POD is designed as a faster and more flexible option for companies that need AI computing capacity quickly. Its modular design could allow businesses to bring additional computing infrastructure online without waiting for a complete traditional data center to be built. Nvidia CEO Jensen Huang said reducing the time needed to bring AI data centers online could be a major breakthrough. Speaking to Deirdre Bosa, Huang explained that installing these large AI facilities currently takes months.
他表示，将系统从发货到投入运行的时间从数月缩短到数周、甚至一个月，对人工智能工厂来说将是颠覆性的改变。新系统由英伟达的Vera Rubin平台提供动力。据英伟达介绍，DSX POD单元将交付到客户现场，可直接连接所需的电源、冷却系统和网络基础设施。这种方式旨在减少部署阶段所需的工作量。英伟达DSX POD将与传统数据中心协同工作。
He said reducing the period between shipping the systems and making them operational from months to weeks, or even a month, would be a game-changer for AI factories. The new system is powered by Nvidia's Vera Rubin platform. According to Nvidia, DSX POD units will be delivered to customer sites ready to be connected to the necessary power supply, cooling systems and networking infrastructure. This approach is intended to reduce the amount of work required at the deployment stage. Nvidia DSX POD will work with traditional data centersNvidia says DSX POD will work alongside traditional data centers rather than replace them.
英伟达表示，DSX POD将与传统数据中心协同运行，而非取代它们。企业可以在其永久性的实体数据中心设施仍在建设期间，利用该系统开始运行人工智能应用并创造收入。黄仁勋表示，该系统将工厂化制造的精度和速度带入了人工智能基础设施建设。他在一份声明中说，目标是将部署时间从数月缩短到数周，使客户能够更快地扩展其计算能力并开始创收性生产。
Companies could use the system to start running AI applications and generating revenue while their permanent, brick-and-mortar data center facilities are still being built. Huang said the system brings factory-built precision and speed to AI infrastructure construction. In a statement, he said the goal is to reduce deployment time from months to weeks so customers can expand their computing capacity and begin revenue-generating production sooner.
英伟达人工智能系统每天可节省数百万升水。DSX POD在设计上也着眼于减少用水量。英伟达表示，该系统支持液冷，并采用干冷器设计，与标准数据中心相比，每天最多可节省5400万升水。美国国债收益率持稳，投资者等待经济数据，美联储将于10月28日做出利率决定。更快的数据中心建设可能有助于英伟达销售更多芯片。
Nvidia AI system could save millions of litres of waterDSX POD is also designed to reduce water consumption. Nvidia says the system supports liquid cooling and uses dry-cooler designs that could save up to 54 million litres of water per day compared with a standard data center.US Treasury yields hold steady as investors await economic data ahead of Fed rate decision on October 28Faster data center construction could help Nvidia sell more chips.
数据中心建设者在使设施投入使用方面面临延误。如果企业能够更快地让基础设施上线，它们或许能够更快地安装和使用人工智能处理器，从而有助于缓解行业扩张中的一个瓶颈。电力短缺仍是人工智能数据中心面临的一大挑战。电力短缺是人工智能行业面临的另一大挑战。
Data center builders face delays in getting their facilities ready for use. If companies can bring their infrastructure online sooner, they may be able to install and use AI processors more quickly, helping ease one of the bottlenecks in the industry's expansion. Power shortages remain a challenge for AI data centersA shortage of electricity is another major challenge for the AI industry.
数据中心需要大量的电力来运行其处理器，而建设用于供电的发电厂所需的时间往往比建造数据中心本身要长得多。这意味着，加快数据中心的部署速度并不能解决该行业面临的所有问题。Nvidia正在与多家公司合作，将 DSX POD 产品推向市场。其合作伙伴包括 Anduril、Armada、Bull、Crusoe、Dell Technologies 和 Foxconn 等公司。这些公司预计将在 2027 年初开始交付该产品。
Data centers need large amounts of power to operate their processors, and building the power plants required to supply that electricity can take much longer than constructing the data centers themselves. This means faster deployment of data center systems will not solve every problem facing the industry. Nvidia is working with several companies to bring DSX POD to the market. Its partners include Anduril, Armada, Bull, Crusoe, Dell Technologies and Foxconn, among others. The companies are expected to begin delivering the system in early 2027.