Tesla plans to sell modular AI data center hardware called ‘Megapod’

Source Domain: electrek.co

Tesla wants to sell modular AI data center hardware, according to a new trademark application for a product called “Megapod.”

The filing describes a complete, self-contained computing system for AI workloads — and it lands less than a year after Tesla killed Dojo, its only in-house AI training computer.

What the ‘Megapod’ filing actually describes

Tesla filed the “Megapod” trademark (serial number 99893717) with the U.S. Patent and Trademark Office this month, through its longtime IP counsel. It’s an intent-to-use application, meaning Tesla is claiming the name for a product it hasn’t launched yet.

The goods-and-services description is unusually specific for a trademark. Megapod covers “modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence data processing, networking equipment, power distribution units, and cooling systems.”

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It also covers “self-contained modular computing hardware systems for artificial intelligence workloads,” integrated platforms sold as a single unit — an enclosure bundling compute, power distribution, and cooling — and downloadable software to monitor, manage, and optimize those systems.

In plain terms: Tesla wants to sell a turnkey AI data center building block. Not a battery, not a chip on its own, but the full rack-and-room of servers, networking, power, and cooling that AI training and inference run on.

Tesla is entering a market Nvidia already owns

The problem is that this market already has a dominant product, and it isn’t Tesla’s.

Nvidia’s GB200 NVL72 is the reference design for modular AI compute today — a liquid-cooled, rack-scale system packing 72 Blackwell GPUs and 36 Grace CPUs that behaves like a single giant GPU. Nvidia’s DGX SuperPOD stacks those racks into clusters that scale past 9,000 GPUs. Dell…

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