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Tesla, led by Elon Musk, has officially begun its entry into the artificial intelligence (AI) data center infrastructure market by filing a new trademark application for 'Megapod' with the United States Patent and Trademark Office (USPTO).
According to the Intent-to-use application submitted this time, Megapod is a 'modular data center hardware system' that integrates computer servers, hardware for AI data processing, network equipment, power distribution units (PDUs), and advanced liquid cooling systems into a single physical enclosure. The strategy is to sell 'AI computing blocks' in a turn-key format that can be driven immediately upon connection to power, rather than selling individual chips or battery packs.

Market experts analyze that Tesla will not directly compete with existing AI chip manufacturers like Nvidia but will instead leverage its core competencies in power electronics technology and expertise in large-scale industrial thermal management infrastructure. This is because Tesla is already on a successful trajectory in the power infrastructure market by mass-supplying its large-scale energy storage system (ESS), 'Megapack,' as a grid power buffer for large-scale AI data centers, including Elon Musk's xAI.
Megapod serves as a kind of 'specialized shell' composed of hardware and cooling solutions, and the HYBE-led business model of mounting third-party AI processors inside is considered highly likely. In particular, this application has drawn significant attention as it was filed immediately after Elon Musk presented the vision of 'Digital Optimus,' a collaborative project between Tesla and xAI. Tesla is currently planning to deploy this modular Megapod infrastructure at its dedicated Supercharger charging station network, which already has global power grid capacity secured.
This is hailed as a groundbreaking alternative that can bypass the bottleneck of waiting years to obtain power approval when constructing a general data center. Wall Street's attention is focused on whether Tesla, which has experienced ups and downs due to restructuring of its own AI supercomputer project, the 'Dojo' team, can leapfrog into a dominant infrastructure player in the AI hardware ecosystem through this Megapod.
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