Nvidia unveils Vera Rubin AI racks packed in a truck-ready shipping container

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Nvidia unveils Vera Rubin AI racks packed in a truck-ready shipping container
PrimeXBT Editorial Team
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Nvidia announced the DSX Pod AI Factory, a shipping container holding seven Vera Rubin AI racks with cabling and liquid cooling assembled at the factory. The company says it cuts the time for a new AI data center to start serving tokens from six months to 14 days. Nvidia did not disclose a price.

On Wednesday, Nvidia announced a product that puts seven Vera Rubin AI racks into a shipping container. The move is the company's latest effort to move up the stack and offer complete systems for artificial intelligence computing.

A data center block that travels by truck

The DSX Pod AI Factory is roughly the size of a standard shipping container and weighs about 28,000 kilograms, nearly 62,000 pounds, Nvidia said. The company designed it to ship on a truck on normal roads, with all cabling and liquid cooling assembled at the factory.

According to Nvidia, the pod will reduce the time for a new AI data center to start serving tokens from six months to 14 days. It also said the pod is intended for customers worldwide and could help address deployment challenges faced by European customers.

Pricing and partners

Nvidia did not announce a price for the system. Analysts, however, say a single Vera Rubin rack can cost more than $7 million.

The DSX Pod is a reference design that will ship from Nvidia's manufacturing partners. Nvidia said it was working with manufacturers including Foxconn, Gigabyte, Lenovo, HPE, Quanta and Pegatron, and it expects deliveries to start in early 2027.

From chips to containers

Nvidia, once a chip company, now offers networking, storage and other data center needs to its customers. Its AI systems have evolved from single graphics processing unit chips to servers with four or eight GPUs, then to entire racks and now to the DSX Pod.

CEO Jensen Huang said on a podcast that what Nvidia offers into one gigawatt rose from about $18 billion to $40-plus billion per gigawatt. According to Huang: "My sense is that's going to keep going up."

Source: CNBC

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