Energy
Tesla partner Panasonic says 30% energy density increase in lithium-ion batteries possible
The market for lithium-ion batteries (LIBs) is expected to exceed $33 billion by 2019 and $26 billion by 2023, according to global market research firm SIS International Research. The success of Tesla and its Nevada-based Gigafactory facility has generated a lot of excitement in the LIB industry. Panasonic’s automobile battery sales are forecast to grow to $4 billion a year by March 2019, largely due to their partnership with Tesla.
“We think the existing technology can still extend the energy density of LIBs by 20% to 30%,” Panasonic’s President Kazuhiro Tsuga said. “But there is a trade-off between energy density and safety. So, if you look for even more density, you have to think about additional safety technology as well. Solid-state batteries are one [possible] answer.” These safety concerns about LIBs are also pushing Panasonic to look at alternative battery power sources.
Solid state batteries use a solid electrolyte instead of the electrolytic solution that is essential in transporting the positive lithium ions between the cathode and anode in today’s batteries. Researchers have succeeded in developing an efficient electrolytic solid material that significantly improves lithium ion conductance, raising hopes that batteries with much higher power densities are edging closer to practical applications.
Tesla 2170 lithium ion cells produced in partnership with Panasonic powering Tesla’s Powerwall 2
“For decades now we have been pushing the limits of our Li-ion batteries in terms of energy density,” Naoaki Yabuuchi, an associate professor at Tokyo Denki University, acknowledged. “Today’s best Li-ion cells can put out about 300 watts per kilogram; a package of Li-ion cells can give off from 150 watts to 250 watts per kilogram. These levels are already close to the theoretical maximum.”
Yabuuchi is an expert on various types of rechargeable batteries. In his view, LIBs will reach the limit of their desirability as early as the first half of 2020 if their development continues to rely on existing technologies. But he has hope that new research can open up more capacity. “Existing LIBs still have room to improve their energy density because you can raise the density by introducing a nickel-based cathode material, so you can expect the batteries will still be used in the next few years.”
It’s not just Tesla and its partners like Panasonic that are interested in LIB capacity. Range anxiety continues to plague possible Tesla and other EV brand buyers, as they fear an inability to travel far enough between vehicle charges and not having access to convenient charging facilities. “We want our electric cars to go 500 km [on a single charge],” said Shinji Nakanishi, a battery researcher at Toyota, via EVannex. “And for this, we want rechargeable batteries that can generate 800 to 1,000 watt-hours per liter.”
Battery research into alternatives to LIBs is quickly evolving. The Battery Symposium in Japan, once a showcase for fuel cells and LIB cathode materials, has seen a significant shift in recent years to industry presentations on solid-state, lithium-air, and non-Li-ion batteries.
Another possible LIB alternative, lithium-air batteries, has the ability to greatly improve energy density. At this point, however, researchers are stymied because lithium-air batteries suffer from poor cycle life. But researchers haven’t given up hope. They’ve been attempting to raise the density close to theoretically expected levels, even if it occurs only for a single charge cycle.
And an entirely different alternative to the LIB doesn’t even use lithium: a cathode material for the sodium-ion battery has a discharge capacity that beats LIBs and enables the power packs to be recharged upward of 500 times. That would circumvent one of the existing weakness that now limits this technology. Two nickel-based cathode materials, lithium nickel cobalt aluminum oxide and lithium nickel manganese cobalt oxide, are sometimes mentioned in these discussions, but neither seem to have a clear potential for practical use within the next decade, according to Yabuuchi.
Tesla is leading the global shift in the automotive industry from traditional gasoline powered vehicles to more fuel-efficient, environmentally responsible modes of transport. Musk has exclaimed that the 2170 cell is “the highest energy density cell in the world and also the cheapest.” Yet, as an industry disrupter, part of Tesla’s vision has been to constantly evaluate new battery technologies. Back in 2013, Ted Merendino, a Tesla product planner, noted that “Tesla has one of the largest cell characterization laboratories in the world. We have just about every cell you can imagine on test.”
That constant inquiry behind the scenes into cell characterization at Tesla may become prudent in previously unforeseen ways. Recently, for example, with the lithium market in its most severe shortage in modern memory, Musk insisted that the amount of lithium in a LIB is about 2% of its total volume and that “lithium in a salt form is virtually everywhere… there is definitely no supply issues with lithium.” Some in the industry disagree with lithium’s resource stability, however, so that alternative battery research may end up offering good karma.
In 2016, sales of LIBs for electric vehicles increased by some 66%, up from 12.3 GWh of capacity to 20.4 GWh. LIBs are the go-to source for EV power right now. Many other products use LIBs: chainsaws, mini-cameras, solar window chargers, wheelchairs, bicycles, portable self-charging desks.
But, with safety issues surrounding LIBs, the limitations of their charge capacity, and lithium market limitations, will Tesla invest in R&D toward alternative battery development so it sooner-than-later adds battery alternatives to its catalog?
Of course, advances from R&D take years to make their way to the marketplace, but should one or more of these promising technologies be translated for commercial means, then we may see innovative improvements in batteries, which could also enhance the performance and cost of our beloved Teslas.
Source: Nikkei Asian Review via EVannex
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.
What is Digital Optimus? The new Tesla and xAI project explained
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.
Elon Musk teases crazy outlook for xAI against its competitors
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.
Tesla expands massive safety feature worldwide in latest update
Tesla sends production Cybercab with no steering wheel, pedals to on-road testing
