NVIDIA looks to shipping containers for new AI factories
NVIDIA, the world's largest supplier of graphics processing units (GPUs) and specialised AI accelerators used to build and run artificial intelligence systems, has introduced a containerised version of its ‘AI Factory’.
The humble shipping container is set to play a larger role in the development of infrastructure to support the artificial intelligence (AI) boom.
In October, NVIDIA, the world’s largest supplier of graphics processing units (GPUs) and specialised AI accelerators used to build and run artificial intelligence systems, introduced a containerised version of its ‘AI Factory’.
The NVIDIA DSX POD is a “reference design for complete Vera Rubin AI factories built by partners in modular containers, integrated and validated before delivery.” The concept behind the DSX POD is to package and integrate all the computing, networking, cabling, rack-level power and liquid cooling needed for an NVIDIA Rubin AI factory into a containerised module, reducing deployment time on site from six months to as little as 14 days.
“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.”
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