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Porsche seems to be adapting elements of Tesla’s Supercharger Network for the Taycan
There are several legacy automakers coming up with vehicles designed to compete against Tesla in the premium electric car segment. Among them, the company that appears to be putting the most effort into its EV push is Porsche, as the automaker is now setting the stage for the release of its first all-electric car — the Taycan, formerly known as the Mission E sedan.
Initially unveiled as a stunning concept car at the 2015 Frankfurt Motor Show, the Taycan instantly attracted a lot of attention and interest among electric car enthusiasts. Unlike other car manufacturers like Jaguar and its impressive I-PACE compact SUV (which does not have a dedicated charging infrastructure), Porsche is putting a lot of effort into making sure that the Taycan becomes a viable alternative to gas-powered vehicles when it gets released. One of these initiatives is the IONITY network, an ultra-fast charging solution being developed with other legacy car companies like Volkswagen and BMW.
In a recent update on its official website, Porsche revealed that it would be rolling out its own dedicated fast-charging solution for the Taycan and its other upcoming all-electric vehicles. The article, which involved an interview with Otmar Bitsche, Director of Development Electrics, Electronics, Electromobility at Porsche and Michael Kiefer, Director of High-Voltage Systems at Porsche Engineering, featured some interesting insights into the company’s efforts at developing Charging Parks, a system that does not seem very different from the Supercharger Network being utilized by Tesla.
Bitsche notes that with the current charging systems in the market, “complicated payment modalities and extremely variable energy prices is a real barrier to the acceptance of electromobility.” This creates an inefficient charging system that becomes a nuisance for electric car drivers. Kiefer described Porsche’s solution to this problem in a statement.
“Someone who wants to drive from Munich to Hamburg in an electric vehicle today needs multiple cards with which they have to authenticate themselves at the charging stations. Porsche eliminates this authentication rigmarole for customers by establishing contracts with all of the charging station operators, so the customer only needs one charging card that is accepted everywhere. And they can also count on a guaranteed electricity price that applies throughout the entire country. Customers of the Porsche charging service ultimately receive just one transparent bill from Porsche,” he said.Â
Porsche’s response to long-distance charging challenges, apart from its participation in the IONITY network, is the Charging Park. Porsche notes that the Charging Park concept is designed to make charging effortless for electric car owners, in the way that they are placed in strategic locations and are available 24/7. The legacy automaker also mentioned the ChargeBox, a charging solution that could be installed in cities and areas that could not accommodate a Charging Park.Â
“We have invested a great deal of effort in the issue of user-friendliness. Our charging stations even look different than the predominant ones seen today. They aid the customer through a design that guides the cable cleanly. We’ve also designed the overall system for the lowest possible power loss. That pay-off in terms of operating costs and the potential operator of the Park stands to save a lot of money.
“We have two different variants, the Charging Park and the ChargeBox. The Park is designed for locations with more available space in which a very high volume of charges is to be expected, 24 hours a day, seven days a week. With a small compact station, however, a charging park is possible in the city as well, for example in a residential area. For all areas with extreme space constraints, there is our second variant, the ChargeBox with an integrate battery. It can be connected to the normal low-voltage grid and enables fast charging in spite of its compact dimensions.”
In true Porsche style, its electric cars’ charging system is designed for speed. With the Taycan, for example, the complany plans to equip the vehicle with an 800-volt battery optimized for ultra-fast charging. The Taycan could recharge at speeds of up to ~350 kW through the IONITY network and similar systems, far beyond the ~120 kW offered by Tesla’s current-generation Superchargers.
Overall, Porsche’s decision to focus on a charging network to support its upcoming electric vehicles is a strategic move that can pay off in spades. A dedicated charging system, after all, makes a big difference in the ownership experience of electric cars. Model S, X, and 3 owners, for one, would point to the Supercharger Network as one of the biggest benefits of owning a Tesla, considering that the system enables true long-distance travel. With this in mind, it is quite encouraging to see legacy automakers such as Porsche adopting a rather similar concept for their own vehicles.Â
Porsche expects to start the production of the Taycan to begin sometime in 2019, though pre-orders for the vehicle could now be filed in the United States and other selected territories. Production of the electric car is expected to be held at the company’s Zuffenhausen facility in Stuttgart, Germany, where it manufactures the Porsche 911, 718 Boxster, and the 718 Cayman. The company plans to roll out 20,000 Taycans per year when the vehicle enters production.
SpaceX confirmed today that it has officially signed its third massive compute deal, providing compute at its Colossus data center in Southaven, Tennessee.
Reflection AI will gain immediate access to NVIDIA GB300 chips at SpaceX’s Colossus 2 data center. In return, Reflection will pay SpaceX $150 million per month starting on July 1, with total payments reaching approximately $6.3 billion if the contract runs through its duration, which is until 2029. Either party can terminate the agreement with 90 days’ notice after the initial three-month period.
CNBC first reported the deal.
🚨 SpaceXAI has agreed to a new compute deal with Reflection AI.
Reflection gets access to NIVIDIA GB300s, and will pay $150M per month to SpaceXAI for the compute. pic.twitter.com/bNPare8U5u
— TESLARATI (@Teslarati) June 22, 2026
This latest partnership highlights SpaceX’s strategy of commercializing its massive Colossus supercomputing infrastructure, originally developed to power Elon Musk’s Grok AI models. The company has rapidly expanded its customer base in the AI sector following its February 2026 merger with xAI, a transaction that valued the combined entity at $1.25 trillion.
SpaceX has previously signed significant compute deals with other major players.
It granted Anthropic exclusive access to the full capacity of its Colossus 1 data center, which exceeds 300 megawatts and includes over 220,000 NVIDIA GPUs. Details from SpaceX’s IPO filings indicate Anthropic will pay $1.25 billion per month through May 2029, potentially generating around $45 billion over the term of the deal.
Additionally, Google agreed to pay SpaceX $920 million per month for compute capacity from October 2026 through June 2029. This 32-month period will provide Google access to roughly 110,000 NVIDIA GPUs, along with supporting processors and memory. Capacity ramps up through September at a reduced fee, with termination options after the first year.
SpaceXA also established arrangements for computing power with Cursor, an AI coding startup. SpaceX acquired them in a $60 billion all-stock deal.
These arrangements position SpaceX’s collective position as an AI infrastructure powerhouse with high-margin revenue potential. The Google deal alone could generate nearly $29.5 billion over its term, while the Reflection contract adds another $6.3 billion.
Combined with the Anthropic arrangement, SpaceX stands to realize tens of billions in revenue from compute leasing in the coming years, which diversifies beyond SpaceX’s traditional rocket launches and Starlink operation.
The deals underscore growing demand for advanced AI training and inference capacity amid chip shortages and surging model development needs. Reflection, valued at $25 billion and focused on “American open intelligence” with government and national security ties, cited recent restrictions on closed models as validation for open-source approaches.
For SpaceX, the partnerships transform capital-intensive data centers into flexible revenue sources while supporting its broader AI ambitions after the company has gone public.
It is safe to say SpaceX won’t be going for electric rockets anytime soon.
In a characteristically blunt reply on X, SpaceX frontman Elon Musk stated, “Unfortunately, electric rockets are impossible,” following reports that MSCI had assigned SpaceX its lowest possible ESG rating of CCC.
The assessment, issued just this past week, coinciding closely with SpaceX’s public market debut, placed the company on par with nations like Russia in sustainability scoring and cited significant risks in environmental, social, and governance areas.
MSCI flagged SpaceX’s exposure to rocket emissions and other operational impacts, alongside governance concerns such as concentrated control by Musk and limited shareholder protections. Musk’s terse comment directly addressed the environmental pillar, underscoring a core physical constraint that ESG frameworks often overlook when evaluating high-thrust industries.
Unfortunately, electric rockets are impossible
— Elon Musk (@elonmusk) June 21, 2026
Electric propulsion systems do exist and are widely used in space. Ion thrusters and Hall-effect thrusters accelerate ionized propellant, typically xenon or krypton, using electric fields, achieving very high specific impulse, often exceeding 3,000 seconds compared to roughly 300–450 seconds for chemical rockets.
This efficiency makes them ideal for satellite station-keeping, orbit raising, and deep-space missions where low thrust over long durations is sufficient. SpaceX’s own Starlink satellites employ electric propulsion for these purposes.
However, launching from Earth’s surface demands something entirely different: enormous thrust delivered rapidly to overcome gravity and atmospheric drag. A typical orbital-class booster must generate thrust far exceeding its weight, often in the millions of Newtons within seconds.
Chemical rockets achieve this through exothermic combustion of dense propellants, producing high-mass-flow, high-velocity exhaust. Electric systems, by contrast, expel very small amounts of mass at extremely high speeds. Generating equivalent thrust would require impractical onboard power levels, massive energy storage or generation systems, and prohibitive added mass, rendering the approach infeasible with current or near-term technology.
Musk has previously expressed a similar sentiment, noting a desire for electric orbital rockets while acknowledging the inescapable requirements of Newton’s third law and energy delivery. The distinction is clear: electric propulsion excels once a vehicle is already in space; it cannot replace the high-thrust chemical phase required to reach orbit from the ground.
The episode illustrates broader critiques of ESG ratings. Proponents argue they incentivize better risk management and long-term sustainability. Detractors, including Musk—who has previously called ESG a “scam”—contend that such metrics can penalize essential activities when no practical alternative exists, potentially discouraging innovation in sectors like space access.
Elon Musk dubs the S&P 500 ESG as “outrageous scam” after Tesla gets booted from index
SpaceX has sought to mitigate launch-related impacts through reusability: Falcon 9 boosters have flown more than 30 times in some cases, dramatically lowering the manufacturing and emissions burden per kilogram delivered to orbit. Starship’s design further emphasizes rapid reusability and methane propellant, which can theoretically be produced via sustainable pathways.
Ultimately, Musk’s remark serves as a reminder that certain engineering realities persist regardless of scoring systems. As humanity expands its presence in space for communications, science, and exploration, balancing genuine environmental progress with technological necessity remains a central challenge.
ESG frameworks may evolve, but the fundamental limits of electric launch propulsion are unlikely to change soon.
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.
SpaceX confirms third massive compute deal at Colossus data center
Elon Musk responds to SpaceX’s ESG rating and says its rockets won’t go electric
