Energy
Tesla patents custom cooling system for longer-lasting energy storage devices
A significant part of Tesla’s business relies heavily on the durability and longevity of its battery packs, and in the spirit of disruptive innovation, the Silicon Valley-based company has continued to make improvements to its battery technology to make them more durable and more efficient. Tesla was able to achieve this through several ways, one of which was discussed in a recently published patent application.
It is pertinent for battery packs, particularly those that are used for energy storage, to be robust enough that they last for a very long time. To accomplish this, battery packs must be able to handle multiple charge and discharge cycles on a regular basis. They must also be able to weather faults in the system, including those that may cause damage to the actual cells in the pack itself.
Such a system was outlined by Tesla in a patent simply titled “Energy Storage System.” Explaining its rationale, the Silicon Valley-based company stated that “cells and other components in a pack generate heat during operation, both during the charging process to store the energy and during the discharge process when energy is consumed.” Tesla further explains that “when the cells fail, they typically release hot gases. These gases may impact the integrity of other cells in the pack and may cause substantial damage to the functional cells which have not failed.”
With this in mind, Tesla maintains that there is a need to develop an “improved energy storage system” that will be capable of reducing or removing “one or more of the issues mentioned.” Tesla’s patent describes two strategies that could improve its battery packs. One of these involves the use of a novel system that utilizes a cold plate, which could help remove heat generated by the battery pack during use. Heat pipes may also be used together with a cold plate to achieve this purpose.
“In certain embodiments, a cold plate (which provides liquid cooling) may be in thermal connection with the battery cells 100 to further remove heat generated during system use. The cold plate may be in direct thermal contact with the battery cells 100 or, alternatively, one or more layers and/or features may be between the cold plate and the battery cells 100. In certain embodiments, the battery cells 100 are in contact with one or more heat pipes to remove excess heat disposed under the battery cells. A cold plate is disposed below the heat pipe or pipes (on the side of the heat pipe away from the battery cells 100) that helps dissipate the heat contained in the heat pipe.”
“In certain embodiments, the cold plate may be in thermal contact with one side of the cells without any heat pipes disposed between the cells. The cold plate may physically consist of a single plate or multiple plates that are thermally connected to the cells and/or one another. In other embodiments, one or more heat pipes are disposed between the battery cells 100 and a cold plate is disposed below the battery cells 100. The heat pipes and the cold plate may be in thermal connection with one another.”
Apart from the use of cold plates, Tesla also described a battery pack with regions that are designed to give way when mechanical failures happen. By using such a system, the majority of the cells in a battery pack become protected even if some cells were to fail.
“The top plate includes one or more weak areas above the one or more battery cell. The weak areas are regions that have less integrity and thus, where mechanical failure is more likely to occur if a battery cell releases gas. These regions may be physically weaker areas compared to the surrounding areas and may rupture when pressure builds up due to a failed cell. Alternatively, the weak areas may be chemically weaker and preferentially rupture when exposed to the caustic gases released by a failed battery cell. The weak areas may also fail due to a combination of physical and chemical weakening.”
The full text of Tesla’s Energy Storage System patent could be accessed here.
Tesla’s focus on battery integrity in its recently published patent application suggests that the Silicon Valley-based company is looking to develop packs that are capable of lasting a very long time. Such improvements have been teased before, especially in a paper released by Tesla lead battery researcher Jeff Dahn and members of the Department of Physics and Atmospheric Science at Dalhousie University. The cells described in the paper are capable of lasting over 1 million miles on the road, or 20 years if used in grid energy storage.
Looking at these initiatives, as well as the battery pack contingencies outlined in the recently released patent, it appears that Tesla is building up towards creating an ecosystem of products that are capable of lasting decades. This, of course, plays a huge part in pushing Tesla’s overall goal of accelerating the advent of sustainable energy.
Tesla just trademarked ‘MEGAPOD’ with the United States Patent and Trademark Office (USPTO), its latest move in what seems to be a hint that the company is incredibly focused on its AI efforts and storage needs as compute increases.
The application carries serial number 99893717 and lists the applicant as Tesla, Inc., located at 1 Tesla Road, Austin, Texas 78725.
The filing remains in ‘live pending’ status, and it is a new application waiting for assignment to an examining attorney. It has not yet been published or registered.
Tesla just trademarked MEGAPOD
Summary:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and… pic.twitter.com/3l85DsKadl— Robin (@xdNiBoR) June 19, 2026
According to the official goods and services description in the application, Tesla describes ‘MEGAPOD’ as:
“Modular data center hardware systems for artificial intelligence computing, comprised of computer servers, computer hardware for artificial intelligence processing, computer networking hardware, electrical power distribution units, and cooling systems, sold as a unit; self-contained modular computing hardware systems for artificial intelligence workloads; integrated computer hardware platforms for artificial intelligence computing, namely, enclosures containing computer hardware, power distribution hardware, and cooling hardware, sold as a unit; downloadable software for monitoring, managing, optimizing, and regulating modular artificial intelligence computing hardware systems.”
This description specifies complete, self-contained modular units that integrate servers and specialized AI processing hardware with networking components, power distribution, and cooling systems. It also includes associated downloadable software for oversight and optimization of these systems. The language emphasizes hardware sold “as a unit” and enclosures that combine the necessary elements for AI computing workloads.
Tesla has an established history of developing and commercializing modular hardware systems. Its Megapack product line, for example, consists of utility-scale battery energy storage systems designed as containerized units for grid applications. The MEGAPOD filing follows a similar pattern of protecting a name for modular, integrated hardware platforms, this time focused on artificial intelligence computing infrastructure.
This could be an early move, especially as Tesla did not have trademark rights to the word ‘Cybercab,’ the name of its self-driving, ride-hailing-focused vehicle.
Trademark applications of this type allow companies to secure priority rights to a name for defined categories of goods and services. The USPTO examines applications for compliance with legal requirements, including distinctiveness and absence of conflicts with prior marks. If the application proceeds successfully through examination, publication, and any opposition period, it could result in a federal trademark registration providing nationwide protection. This is what Tesla’s obvious intention is with ‘MEGAPOD.’
Public reports and analysis suggest MEGAPOD could represent modular, container-style AI computing pods designed for easy deployment. These would bundle servers, AI accelerators, power systems, and cooling into self-contained units suitable for distributed AI workloads. This approach aligns with Tesla’s announced AI compute strategy.
In March 2026, Elon Musk outlined plans for “Digital Optimus” (also referred to as Macrohard), a joint Tesla-xAI project for AI agents capable of handling complex digital tasks. The plans include running these agents on Tesla’s AI4 hardware in parked vehicles as well as dedicated compute units installed at Supercharger stations, which collectively offer substantial unused electrical capacity.
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A modular hardware platform like the one described in the ‘MEGAPOD’ filing would support scalable, rapid deployment of such distributed compute resources. It could complement Tesla’s other AI infrastructure efforts, including the Dojo supercomputer used for training models and the development of AI systems for autonomous driving and robotics, by enabling edge or regional AI inference without reliance on traditional centralized data centers.
In a notable intersection of Big Tech powerhouses, Meta, led by Mark Zuckerberg, has partnered with Canadian energy infrastructure giant Enbridge on a significant renewable energy initiative that will rely on battery technology from Elon Musk’s Tesla.
The project, which was announced this week, marks another step in Meta’s aggressive push to power its expanding data center operations with clean energy, dispelling many of the complaints people have about them.
This new development is located near Cheyenne, Wyoming, and will feature a 365-megawatt (MW) solar farm paired with a 200 MW/1,600 megawatt-hour (MWh) battery energy storage system, also known as BESS. Tesla is providing the batteries for the project, valued at roughly $200 million.
The story was originally reported by Utility Dive.
This Wyoming project represents the first phase of Enbridge and Meta’s joint “Cowboy Project.” Once operational, it will deliver power to Meta’s regional data centers through Cheyenne Light, Fuel, and Power under Wyoming’s Large Power Contract Service tariff.
This tariff, originally developed in collaboration with Microsoft and Black Hills Energy, is designed specifically for large loads like data centers. It ensures that the renewable supply serves hyperscale customers without impacting retail electricity rates for other users.
The battery system will operate under a long-term tolling agreement, providing dispatchable capacity that enhances grid reliability. During periods of high demand, the utility can access the backup generation, addressing one of the key challenges of integrating large-scale renewables with the explosive growth of data center electricity demand driven by artificial intelligence.
This latest collaboration builds on prior joint efforts between Enbridge and Meta in Texas, including the 600 MW Clear Fork Solar, 152 MW Easter Wind, and 300 MW Cone Wind projects. Together with the Wyoming initiative, the companies have now partnered on roughly 1.6 gigawatts (GW) of combined solar, wind, and storage capacity.
The deal highlights the intensifying demand for reliable, low-carbon power from technology giants. Meta has committed to supporting its data center growth with renewable energy, joining peers like Microsoft and Google in seeking large-scale solutions. Enbridge’s Allen Capps described the project as “one of the larger utility-scale battery installations supporting U.S. data center operations and growth.”
The involvement of Tesla’s battery technology adds an intriguing layer, linking two of the world’s most prominent tech leaders—Zuckerberg and Musk—in the clean energy transition.
As data centers continue to drive unprecedented electricity load growth across the United States, projects like this one illustrate how hyperscalers are turning to strategic partnerships with traditional energy players and innovative storage solutions to meet both sustainability goals and reliability needs.
Elon Musk
Why SpaceX just made a $60 billion bet on AI coding ahead of historic IPO
SpaceX has secured an option to acquire Cursor AI for $60 billion ahead of its historic IPO.
SpaceX announced today it has struck a deal with AI coding startup Cursor, securing the option to acquire the company outright for $60 billion later this year, while committing $10 billion for joint development work in the interim. The announcement described the partnership as building “the world’s best coding and knowledge work AI,” and comes just days after Cursor was separately reported to be raising $2 billion at a valuation above $50 billion.
The move makes strategic sense given where each company currently stands. Cursor currently pays retail prices to Anthropic and OpenAI to the same companies competing directly against it with Claude Code and Codex. That means every dollar of revenue Cursor earns partially funds its own competition. With SpaceX bringing computational infrastructure to the Cursor platform, that could reduce Cursor’s dependence on OpenAI and Anthropic’s Claude AI as its providers. Access to SpaceX’s Colossus supercomputer, with compute equivalent to one million Nvidia H100 chips, gives Cursor the infrastructure to run and train its own models at a scale it could never afford independently. That one change restructures the entire unit economics of the business.
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Cursor’s $2 billion in annualized revenue and enterprise reach across more than half of Fortune 500 companies gives SpaceX something its xAI subsidiary currently lacks, which is a proven, fast-growing software business with real enterprise distribution.
For Cursor, SpaceX’s $10 billion in joint development funding is transformational. Cursor raised $3.3 billion across all of 2025 to reach that $2 billion in revenue. A single $10 billion commitment from SpaceX, even as a development payment rather than an acquisition, dwarfs everything Cursor has raised in its entire existence. That capital accelerates product development, enterprise sales infrastructure, and proprietary model training simultaneously.
The timing is deliberate. SpaceX filed confidentially with the SEC on April 1, 2026, targeting a June listing at a $1.75 trillion valuation, in what would be the largest public offering in history. The company is expected to begin its roadshow the week of June 8, with Bank of America, Goldman Sachs, JPMorgan, and Morgan Stanley serving as underwriters. Adding Cursor to the portfolio before that roadshow gives IPO investors a concrete enterprise software revenue story to price in, alongside rockets and satellite internet.
The deal also addresses a weakness that became visible after February’s xAI merger. Several xAI co-founders departed following that acquisition, and SpaceX had already hired two Cursor engineers, signaling where its AI talent strategy was heading. Cursor, for its part, faces a pricing disadvantage competing against Anthropic’s Claude Code.
Whether SpaceX exercises the full acquisition option before its IPO or after remains the open question. Either way, this deal reshapes what investors will be buying into when SpaceX goes public.
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