Tesla Megapod trademark application targets modular artificial intelligence data centers amidst hardware competition and branding conflicts
Tesla applied for a trademark on a Megapod a new product referring to a modular artificial intelligence data center. As reported by the motoring news site Electrek, the application filed with the United States Patent and Trademark Office (USPTO) reveals "a modular hardware system used for artificial intelligence computing". The document describes a "packaged product" that would gather together computers and application specific processing hardware, network equipment, power distribution units and thermal management units.
The biggest challenge for Tesla is the current control of major technology players over the modular computing arena. Nvidia has made its mark with the GB200 NVL72 design today. Featuring liquid cooled and rack scale system, this design connects 72 Blackwell graphic solutions and 36 Grace CPU to make a giant one chip solution.
Hardware makers e.g. Dell Technologies has used this design for their enterprise server products. Supermicro, using the same structure, already established clusters to get some early market share.
Tesla's other immediate branding conflicts will include existing companies. A current company, specializing in immersion cooling, has been selling a modular liquid cooled data center solution using the identical nomenclature Megapod. This data center, measuring 12 meters and featuring substantial computing power, is currently marketed by the manufacturer. Although Tesla has applied for trademarks in a different category of nomenclature, the identical product classification for two different companies could generate disputes.
A more general issue is Tesla's relative lack of commercial expertise in manufacturing enterprise computing hardware. At present, the manufacturer is a purchaser of advanced computing, rather than a vendor. Its internal artificial intelligence training cluster, codenamed Cortex and based at the Texas Gigafactory, consumes 67,000 Nvidia H 100 units, enhancing its purchasing leverage by a significant margin.
The company has also had internal hurdles with proprietary silicon. The company's proprietary Dojo supercomputer was canceled last year. The company swung to efforts for its own AI5 and AI6 chips, but progress has been slow. The AI5 chip has had a 2 year tapeout delay and foundry yield issues at the manufacturing level have meant the mass production of the AI6 chip will now not happen until near the end of the decade.
Absent the limits of computing hardware, industry analystfurlays,believe Tesla has a distinct foresight by mass manufacturing its modern energy storage affiliate. The market new Megapack and Megablock battery frames capable of functioning as power pipes between data centers hangering on enormous electric power supplies. The synthetic brain cluster startup xAI acquired $1000000000 worth of Megapack modules to help buffer the power required for its own supercomputer chains. Encapsulating these used cells along with air conditioning transmission and substantial unroofed boxes as Megapods would be nothing unfamiliar to present day business.
The trademark application is being filed at a financially difficult time for the automaker. Other leading technology players have enjoyed eye watering valuation multiples thanks to demand spike in AI infrastructure, whereas Tesla's share price has fallen over 20% in the present fiscal period amid margin compression and the phaseout of electric vehicle tax credits. It has been proposed by some market observers that the Megapod application could serve as a narrative device to align the Tesla brand with the growing data center infrastructure industry at a time of slowing automotive demand.
