Tesla Files Trademark for ‘Megapod’ Modular AI Data Center Hardware
June 21, 2026
Tesla Files Trademark for ‘Megapod’ Modular AI Data Center Hardware
Tesla has signaled a potential move into the AI data center hardware market with a new trademark filing for a product called “Megapod,” less than a year after the company scrapped its own Dojo supercomputer project. The filing, submitted to the U.S. Patent and Trademark Office this month, describes a fully integrated, modular computing system designed specifically for artificial intelligence workloads, marking a notable shift in the company’s strategy as it seeks to attach its brand to the booming AI infrastructure sector.
The trademark application, filed through Tesla’s longtime intellectual property counsel, covers “modular data center hardware systems for artificial intelligence computing,” including computer servers, AI data processing hardware, networking equipment, power distribution units, and cooling systems. The description also specifies “self-contained modular computing hardware systems for artificial intelligence workloads” sold as a single unit, complete with downloadable software for monitoring and optimization. In essence, Tesla aims to sell a turnkey AI data center building block — not just a chip or a battery, but an entire rack-level enclosure bundling compute, power, and cooling for AI training and inference.
However, Tesla is entering a market already dominated by Nvidia, whose GB200 NVL72 reference design has become the standard for modular AI compute. That system, a liquid-cooled rack-scale platform pairing 72 Blackwell GPUs with 36 Grace CPUs, scales into clusters exceeding 9,000 GPUs via Nvidia’s DGX SuperPOD architecture. Major OEMs like Dell and Supermicro have already built their own products around the same platform. Additionally, immersion-cooling specialist Submer already markets a product called the “MegaPod” — a 40-foot prefabricated data center rated up to 800 kW — and holds a registered trademark for the name in a related class, raising potential naming conflicts for Tesla’s application.
More fundamentally, Tesla lacks an established merchant compute hardware business. Its own AI training cluster, Cortex at Gigafactory Texas, relies on roughly 67,000 Nvidia H100-equivalent GPUs, making Tesla a customer of Nvidia rather than a competitor. The company’s track record with in-house AI silicon is also troubled: Tesla killed the Dojo supercomputer in August 2025, with Elon Musk calling the Dojo 2 design “an evolutionary dead end” after significant team departures. Tesla pivoted to its AI5 and AI6 chips, but AI5 has taped out nearly two years behind schedule, and AI6 has slipped by about six months due to struggles at Samsung’s 2nm fabrication line, pushing mass production toward late 2027.
Where Tesla does have a credible AI-data-center business is in power, not compute. Its Megapack and new Megablock energy storage products are already being deployed in AI data centers as grid buffers; Musk’s own xAI has purchased roughly $1 billion worth of Megapacks to power its training operations. This energy-storage strength suggests that a Megapod product bundling Tesla’s power electronics, thermal management, and enclosure — essentially the “shell” around the chips rather than the chips themselves — could sit adjacent to a business Tesla actually runs.
The timing of the filing is notable. Tesla has been one of the few large U.S. tech-adjacent stocks that has not benefited from the AI infrastructure boom. While Nvidia and other members of the “Magnificent Seven” saw their valuations surge on AI enthusiasm, Tesla shares have fallen more than 20% year-to-date in 2026, pressured by the expiration of the EV tax credit and shrinking margins. The AI boom has largely happened around Tesla, not to it. The Megapod application can be seen as another attempt to tie the Tesla narrative to the AI trade, following a pattern of announcements — Dojo, its cancellation, Dojo 3, space-based AI compute, and the Terafab chip fab — that have produced little shipped merchant hardware.
Industry observers note that a Megapod product leaning on Tesla’s genuine strength in batteries and power infrastructure — selling integrated power and cooling for AI sites — could make strategic sense. But a product attempting to sell Tesla-designed servers against Nvidia’s established ecosystem would be a stretch the company has not yet earned. For now, Megapod remains just a name in a database; the critical question is whether Tesla can ship anything behind it before its next chip schedule slips again.
Source: electrek
