NVIDIA 发布 DSX POD 模块化 Vera Rubin AI 工厂参考设计
NVIDIA Introduces DSX POD AI Factories to Accelerate Europe’s Infrastructure Deployment
NVIDIA 在 GTC Berlin 发布 DSX POD，这是面向完整 Vera Rubin AI 工厂的参考设计，由合作伙伴在模块化集装箱内预集成并验证后交付，现场部署时间从 6 个月缩短至最短 14 天。计算、网络、布线、机架级供电和液冷在制造工厂完成集成，与站点准备并行进行，帮助客户更快开始生成生产 token 并获得收入。
AI 生成摘要 · 以原文为准
官方公告披露了 DSX POD 参考设计的部署周期与合作伙伴名单，可用于跟踪 2027 年初模块化 AI 工厂的落地节奏。
Factory-Built With a Global Ecosystem Including Bull, Dell Technologies, HPE, Lenovo, Schneider Electric and Vertiv, the New Reference Design Speeds Infrastructure Deployment From Months to Weeks, Accelerating Time to First Production Tokens
News Summary:
- NVIDIA introduces DSX POD, a reference design for complete Vera Rubin AI factories built by partners in modular containers, integrated and validated before delivery.
- Factory-built units reduce deployment time at a prepared site from six months to as little as 14 days, helping customers begin generating production tokens and earning revenue sooner.
- A global ecosystem of computing and infrastructure partners are working with NVIDIA to deliver modular AI factories worldwide in early 2027.
GTC Berlin—NVIDIA today introduced DSX POD, a reference design for complete NVIDIA Vera Rubin AI factories built by partners inside modular containers, integrated and validated before delivery. The units arrive ready to connect out of the box to a prepared site’s power, cooling, networking and other supporting infrastructure, reducing deployment time from six months to as little as 14 days.
DSX POD moves the integration and installation of computing, networking, cabling, rack-level power and liquid cooling to the manufacturing facility, reducing the extensive planning, construction, specialized labor and logistics of a traditional onsite build. Factory-tested containers reduce exposure to component delays and costly, error-prone onsite work, creating a shorter path to model training and production inference so customers can begin generating tokens and earning revenue sooner.
“An AI factory creates value when it starts producing tokens — not when construction is complete,” said Jensen Huang, founder and CEO of NVIDIA. “With NVIDIA DSX POD, we’re bringing factory-built precision and speed to AI infrastructure construction — reducing deployment time from months to weeks so customers can scale capacity and bring revenue-generating production online faster.”
Factory-Built Infrastructure
NVIDIA DSX POD brings Vera Rubin systems together with the infrastructure needed to operate them in repeatable, factory-built, containerized designs that partners can manufacture and deliver at scale.
It carries forward the design philosophy of the broader NVIDIA DSX™ infrastructure platform, with a distinct architecture that integrates and validates systems in purpose-built containers before transport and deployment. Partners complete rack-to-rack cabling, wiring, piping and functional validation before shipment. This work takes place separately from site preparation, further shortening the time needed to bring new capacity online.
That earlier start to production is the link between deployment speed and economics. Time to first token marks when a new AI factory begins running models to serve production workloads, giving operators the opportunity to put their infrastructure to work for customers sooner.
Global Partner Ecosystem and Availability
NVIDIA is working with Anduril, Armada, Bull, Crusoe, DayOne, Dell Technologies, Delta, Eaton, Foxconn (Ingrasys), GIGABYTE, HPE, Lenovo, Pegatron, Quanta Cloud Technology (QCT), Schneider Electric, Vertiv and Wistron to deliver DSX POD AI factories worldwide in early 2027.
Watch the GTC Berlin keynote from Huang and explore sessions.
来源：NVIDIA Newsroom · nvidianews.nvidia.com