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SpaceX adds a second drone ship to its East Coast rocket recovery fleet

Drone ship Of Course I Still Love You returned to Port Canaveral on December 7th with Falcon 9 booster B1059. OCISLY was joined by a second drone ship for the first time ever just days later. (SpaceX)

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On December 10th, SpaceX’s East Coast rocket recovery fleet added a second drone ship to its ranks in a bid to expand its capabilities to support dozens of annual Falcon 9 and Heavy launches, as well as experimental Starship and Super Heavy booster recoveries.

Formerly stationed out of Port of Los Angeles to support SpaceX’s once-substantial West Coast launch manifest, the need for West Coast launches has rapidly dried up over the last six months. That drought had such a long lead that SpaceX decided to transfer drone ship Just Read The Instructions (JRTI) through the Panama Canal, moving the vessel several thousand miles from Port of Los Angeles to Port Canaveral, Florida.

JRTI made it through the Canal several months ago and headed East towards Florida before making an intriguing and lengthy pit stop in a Louisiana port. While there, marine engineers and technicians performed a number of unknown tasks presumed to be a scheduled period of inspections and maintenance. In the last few weeks JRTI spent in Louisiana, SpaceX loaded the drone ship with more than a dozen huge generators and power controllers, as well as six massive maneuvering thrusters.

Although perspectives were lacking while JRTI was docked in LA, it was clear that some (or all) of the new hardware was meant for the drone ship, indicating that the rocket recovery platform could be in for some major upgrades. The aforementioned thrusters are much larger and appear to be heavier than JRTI’s former blue azimuth thrusters, four of which also adorn Florida-based drone ship Of Course I Still Love You (OCISLY).

Those massive thrusters are presumably meant for JRTI (and possibly OCISLY). The fact that they have been delivered alongside an even larger number of generators – far more than are usually present on SpaceX drone ships – indicates that their power output is probably larger, too. It’s not clear how much more powerful they are but one goal is unequivocal: with more powerful thrusters, SpaceX’s drone ships should be much more tolerant of bad weather, meaning that SpaceX will be able to launch Falcon 9, Falcon Heavy, and Starship without having to worry as much about the weather hundreds of miles downrange.

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Depending on how powerful they are, it’s also possible that those upgraded thrusters are strong enough to independently power drone ships to and from their ocean landing zones. As of now, SpaceX must contract days of tugboat services to tow drone ships to and from their landing zones, by far one of the biggest recurring costs for booster recoveries. If a major power supply upgrade and much larger thrusters are indeed enough to enable independent cruise capabilities, it could significantly streamline SpaceX’s drone ship recovery efforts, cutting costs and increasing flexibility and availability.

It’s hard to say why drone ship JRTI only brought six new thrusters with it, given that SpaceX’s East Coast fleet now has two drone ships and four thrusters are needed to enable stationkeeping on just one of them. Perhaps two more thrusters are on backorder and will be delivered directly to Port Canaveral. More likely, only one drone ship – likely JRTI – will initially be upgraded with new thrusters and power equipment, leaving two spare thrusters in case those installed are damaged by recovery attempts or fail for more mundane reasons.

In the past, drone ship OCISLY has suffered a handful of recovery anomalies that forced SpaceX to replace the vessel’s blue azimuth thrusters and their associated hydraulic equipment. In some cases, a lack of replacement thrusters lead SpaceX to scavenge drone ship JRTI, leaving the ship without thrusters for several months. With these latest upgrades, SpaceX has presumably learned from those past mistakes and ensured that several spare generators and thrusters are on hand.

Given that SpaceX has yet to install those upgraded thrusters or generators on either JRTI or OCISLY, as well as the general uncertainty surrounding their purpose, it’s safe to say that the next several weeks will be exciting. For now, it’s unknown when JRTI will be ready to support its first East Coast rocket recovery, but there will be plenty of launches to choose from once she is.

With two drone ships now stationed out of Port Canaveral, SpaceX will be able to support a more capable Falcon Heavy configuration, expending the center core while recovering both side boosters at sea. SpaceX will also be able to attempt experimental Starship and Super Heavy drone ship landings while still having a spare ship to support its regular Falcon 9 missions. Most importantly, two drone ships will allow SpaceX to reach launch/landing cadences and turnaround times previously impossible with a single ship, an absolute necessity if the company hopes to achieve its goal of ~24 Starlink launches on top of 10+ commercial launches in 2020.

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Eric Ralph is Teslarati's senior spaceflight reporter and has been covering the industry in some capacity for almost half a decade, largely spurred in 2016 by a trip to Mexico to watch Elon Musk reveal SpaceX's plans for Mars in person. Aside from spreading interest and excitement about spaceflight far and wide, his primary goal is to cover humanity's ongoing efforts to expand beyond Earth to the Moon, Mars, and elsewhere.

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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.

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(Credit: Tesla)

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. 

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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. 

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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.

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Credit: xAI

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.

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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.

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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.

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Credit: Tesla

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.

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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.

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