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Tesla’s liquid-cooled charging connector patent paves way for the Semi’s Megachargers
A recently published patent application from Tesla suggests that the electric car maker is continuing in its efforts to improve its already-stellar Supercharger Network. The design outlined in the document, which features a liquid-cooled charging connector, can potentially pave the way for a more ambitious charging infrastructure, perhaps one that can specifically cater to the all-electric Semi’s Megacharger Network.
During the all-electric truck’s unveiling, CEO Elon Musk mentioned that the Semi will be able to replenish as much as 400 miles of range in as little as 30 minutes thanks to a network of Megachargers. Neither Musk nor Tesla provided the specs of the Megacharger during the vehicle’s unveiling, though speculations were high that network might provide a power output that is several times more powerful than the company’s Supercharger V2 Network, which had an output of around 120 kW then (Supercharger V2 stations have since been improved to 150 kW).
Being a large vehicle, the Semi requires a lot of power for its charging needs, involving the rapid transfer of mass amounts of electricity in a very short period of time without encountering any heating issues. This is a key concept outlined by Tesla in its recently published patent, titled “Liquid-Cooled Charging Connector,” which involves the use of a liquid cooling system on a charging connector itself. Tesla describes its concept in the discussion below.
“To transfer energy faster and decrease charging times, the cable and charging connector must be capable of withstanding high current loads. Current charging connectors are limited in the current loads that they can support as their ability to dissipate heat is limited. Thus, there is a need for a new charging connector to solve the aforementioned problems.
“The present disclosure related to a new charging connector. The charging connector has a first electrical socket and a second electrical socket. A first sleeve is concentrically coupled to the first electrical socket and a second sleeve is concentrically coupled to the second electrical socket. A manifold assembly encloses the first and second electrical sockets and the first and second sleeves, such that the first and second sleeves and manifold assembly create a hollow interior space there between. The manifold assembly has an inlet conduit and an outlet conduit such that inlet conduit, interior space, and outlet conduit together create a fluid flow path.
“Cooling fluid flows through the fluid flow path and cools the charging connector. During operation, the cooling fluid bifurcates into a first fluid stream which flows around the first sleeve, and a second fluid stream which flows around the second sleeve. The first and second fluid streams combine upstream of the outlet conduit. The first sleeve encloses the first electrical socket, and the second sleeve encloses the second electrical socket. The cooling sleeves are made from a thermally conducting material such that heat generated by electrical sockets can be removed by the cooling fluid. In embodiments, this thermally conducting material is a thermally conductive plastic material.”
Tesla notes that its liquid-cooled supercharger connector does not only allow faster charging; it also makes the routing of wires in a charging connector much more efficient. This means that Tesla’s Supercharger connectors could eventually be smaller and more compact despite being capable of greater output. An example of this appears to be hinted at by Supercharger V3’s liquid-cooled cables, which are smaller and more compact than those used in Tesla’s V2 Network.
“Cooling fluid absorbs thermal energy from heat in the electrical sockets 404, 406. Sleeves 410, 412 are made of a thermally conducting, electrically insulating material. Heat from the electrical sockets 404, 406 is transferred to cooling fluid through sleeves 410, 412. After flowing around hollow interior space 416, the first fluid stream 804 and the second fluid stream 806 combine together upstream of outlet conduit 514 and flow outside of manifold assembly 414 through outlet conduit 514. Cooling fluid flowing out of manifold assembly 414 through outlet conduit 514 may be received by a reservoir (not shown) which may provide for heat exchanging arrangements. A heat exchanger may be provided to take away heat absorbed by cooling fluid. After rejecting absorbed heat, the cooling fluid may be recirculated back to inlet conduit 512 for further cooling of charging connector 210.
“FIG. 9 shows another component included by charging connector 210. A Printed Circuit Board Assembly (PCBA) 902 is thermally coupled to charging connector 210. In embodiments, PCBA 902 is a two-part structure. A first part of PCBA 904 is coupled to charging connector 210 such that the first part of PCBA 904 sits on top of electrical sockets 404, 406. A second part of PCBA 908 is connected to the first part of PCBA 904 through a rigid-flex PCB construction, or other similar interconnects. The two-part structure of PCB A 902 allows for a more efficient routing of electrical wires of charging connector 210, and overall size of charging connector 210 may be conveniently reduced.”
Tesla’s Superchargers are among the fastest and most expansive electric vehicle charging infrastructures in the auto industry. In keeping with its spirit, the company has made it a point to never stop innovating, as exhibited by the company’s debut and ongoing ramp of its Supercharger V3 Network. This could ultimately pay off for Tesla, whose lead in the electric vehicle race might potentially increase even more.
Such innovations appear to be required of the company, especially with the rollout of ambitious EVs such as the Semi, a vehicle with a different charging infrastructure compared to Tesla’s existing lineup of electric cars. That being said, Tesla nevertheless deserves credit for pushing the envelope and staying on top of its innovations. In the electric vehicle race, after all, a liquid-cooled charging connector could end up making the difference between the fast-charging capabilities of the Tesla Semi and rivals from Daimler and Nikola.
A link to the full text of Tesla’s liquid-cooled charger connector patent could be accessed here.
Elon Musk
Tesla confirms that work on Dojo 3 has officially resumed
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo 3,” Elon Musk wrote in a post on X.
Tesla has restarted work on its Dojo 3 initiative, its in-house AI training supercomputer, now that its AI5 chip design has reached a stable stage.
Tesla CEO Elon Musk confirmed the update in a recent post on X.
Tesla’s Dojo 3 initiative restarted
In a post on X, Musk said that with the AI5 chip design now “in good shape,” Tesla will resume work on Dojo 3. He added that Tesla is hiring engineers interested in working on what he expects will become the highest-volume AI chips in the world.
“Now that the AI5 chip design is in good shape, Tesla will restart work on Dojo3. If you’re interested in working on what will be the highest volume chips in the world, send a note to AI_Chips@Tesla.com with 3 bullet points on the toughest technical problems you’ve solved,” Musk wrote in his post on X.
Musk’s comment followed a series of recent posts outlining Tesla’s broader AI chip roadmap. In another update, he stated that Tesla’s AI4 chip alone would achieve self-driving safety levels well above human drivers, AI5 would make vehicles “almost perfect” while significantly enhancing Optimus, and AI6 would be focused on Optimus and data center applications.
Musk then highlighted that AI7/Dojo 3 will be designed to support space-based AI compute.
Tesla’s AI roadmap
Musk’s latest comments helped resolve some confusion that emerged last year about Project Dojo’s future. At the time, Musk stated on X that Tesla was stepping back from Dojo because it did not make sense to split resources across multiple AI chip architectures.
He suggested that clustering large numbers of Tesla AI5 and AI6 chips for training could effectively serve the same purpose as a dedicated Dojo successor. “In a supercomputer cluster, it would make sense to put many AI5/AI6 chips on a board, whether for inference or training, simply to reduce network cabling complexity & cost by a few orders of magnitude,” Musk wrote at the time.
Musk later reinforced that idea by responding positively to an X post stating that Tesla’s AI6 chip would effectively be the new Dojo. Considering his recent updates on X, however, it appears that Tesla will be using AI7, not AI6, as its dedicated Dojo successor. The CEO did state that Tesla’s AI7, AI8, and AI9 chips will be developed in short, nine-month cycles, so Dojo’s deployment might actually be sooner than expected.
Elon Musk
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
Elon Musk shared his update in a recent post on social media platform X.
xAI has brought its Colossus 2 supercomputer online, making it the first gigawatt-scale AI training cluster in the world, and it’s about to get even bigger in a few months.
Elon Musk shared his update in a recent post on social media platform X.
Colossus 2 goes live
The Colossus 2 supercomputer, together with its predecessor, Colossus 1, are used by xAI to primarily train and refine the company’s Grok large language model. In a post on X, Musk stated that Colossus 2 is already operational, making it the first gigawatt training cluster in the world.
But what’s even more remarkable is that it would be upgraded to 1.5 GW of power in April. Even in its current iteration, however, the Colossus 2 supercomputer already exceeds the peak demand of San Francisco.
Commentary from users of the social media platform highlighted the speed of execution behind the project. Colossus 1 went from site preparation to full operation in 122 days, while Colossus 2 went live by crossing the 1-GW barrier and is targeting a total capacity of roughly 2 GW. This far exceeds the speed of xAI’s primary rivals.
Funding fuels rapid expansion
xAI’s Colossus 2 launch follows xAI’s recently closed, upsized $20 billion Series E funding round, which exceeded its initial $15 billion target. The company said the capital will be used to accelerate infrastructure scaling and AI product development.
The round attracted a broad group of investors, including Valor Equity Partners, Stepstone Group, Fidelity Management & Research Company, Qatar Investment Authority, MGX, and Baron Capital Group. Strategic partners NVIDIA and Cisco also continued their support, helping xAI build what it describes as the world’s largest GPU clusters.
xAI said the funding will accelerate its infrastructure buildout, enable rapid deployment of AI products to billions of users, and support research tied to its mission of understanding the universe. The company noted that its Colossus 1 and 2 systems now represent more than one million H100 GPU equivalents, alongside recent releases including the Grok 4 series, Grok Voice, and Grok Imagine. Training is also already underway for its next flagship model, Grok 5.
Elon Musk
Tesla AI5 chip nears completion, Elon Musk teases 9-month development cadence
The Tesla CEO shared his recent insights in a post on social media platform X.
Tesla’s next-generation AI5 chip is nearly complete, and work on its successor is already underway, as per a recent update from Elon Musk.
The Tesla CEO shared his recent insights in a post on social media platform X.
Musk details AI chip roadmap
In his post, Elon Musk stated that Tesla’s AI5 chip design is “almost done,” while AI6 has already entered early development. Musk added that Tesla plans to continue iterating rapidly, with AI7, AI8, AI9, and future generations targeting a nine-month design cycle.
He also noted that Tesla’s in-house chips could become the highest-volume AI processors in the world. Musk framed his update as a recruiting message, encouraging engineers to join Tesla’s AI and chip development teams.
Tesla community member Herbert Ong highlighted the strategic importance of the timeline, noting that faster chip cycles enable quicker learning, faster iteration, and a compounding advantage in AI and autonomy that becomes increasingly difficult for competitors to close.
AI5 manufacturing takes shape
Musk’s comments align with earlier reporting on AI5’s production plans. In December, it was reported that Samsung is preparing to manufacture Tesla’s AI5 chip, accelerating hiring for experienced engineers to support U.S. production and address complex foundry challenges.
Samsung is one of two suppliers selected for AI5, alongside TSMC. The companies are expected to produce different versions of the AI5 chip, with TSMC reportedly using a 3nm process and Samsung using a 2nm process.
Musk has previously stated that while different foundries translate chip designs into physical silicon in different ways, the goal is for both versions of the Tesla AI5 chip to operate identically. AI5 will succeed Tesla’s current AI4 hardware, formerly known as Hardware 4, and is expected to support the company’s Full Self-Driving system as well as other AI-driven efforts, including Optimus.
Tesla confirms that work on Dojo 3 has officially resumed
Elon Musk’s xAI brings 1GW Colossus 2 AI training cluster online
