News
SpaceX is searching for BFR landing sites for early 2020s Mars missions
SpaceX Principal Mars Development Engineer Paul Wooster gave a surprise talk at a February 2018 meeting of the Mars Exploration Program Analysis Group, where he provided a brief overview of SpaceX’s plans for the Red Planet, ranging from prospective landing sites for the company’s first missions there to the possibility of including significant secondary payloads on BFR and Falcon Heavy launches.
Wooster reiterated that SpaceX is still targeting the early 2020s for its first true BFR missions to Mars, perhaps less than five years from today. He further discussed prospective landing locations on the planet, emphasizing a need for a smooth landing site, easy access to on or near-surface water ice, and a preference for the warmer and more forgiving mid and low (equatorial) latitudes. A huge amount of work admittedly remains before the company before those missions are even remotely conceivable, especially missions with crew onboard.
If/when SpaceX successfully debuts its Crew Dragon spacecraft and demonstrates the ability to reliably and safely transport humans to and from orbit, a huge amount of the risk currently innate in any long-term interplanetary transport and colony creation will be definitively retired, transforming several of the major problems at hand from clean-slate tech development to optimizing and scaling up functional first-generation designs and hardware.
Crew Dragon’s official uncrewed demonstration debut (DM-1) and perhaps the crewed demonstration follow-on mission (DM-2) will likely have real launch dates announced later this week in an August 3 NASA press conference. Reliable sources have pegged those dates around October-December for DM-1 and 3-6 months later for DM-2
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- SpaceX’s gorgeous Crew Dragon capsule is nearing its own debut, likely before the end of 2018. (SpaceX)
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- The first spaceworthy Crew Dragon capsule is already in Florida, preparing for its November 2018 launch debut. The same capsule will be refurbished and reflown as few as three months after recovery. (SpaceX)
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- Note that Merlin 1D and prior Raptor prototypes both feature traditional single nozzles. (Pauline Acalin)
Nevertheless, SpaceX is demonstrably hard at work designing and building BFR‘s booster, spaceship, and tanker and is moving quickly in the direction of full-scale engineering and production. Much of that prototype manufacturing happens to be taking place in a temporary tent installed in a Port of Los Angeles parking lot near the end of 2017. According to one source engaged in the work there, SpaceX technicians and engineers have already begun rolling out preliminary materials and engineering samples of carbon composite structures and propellant tanks with the massive manufacturing tools (one known as a mandrel) temporarily housed inside.
Just a few miles away, the company is busy preparing a construction site for a permanent BFR factory on a plot of Port of Los Angeles land known as Berth 240. The smaller Phase 1 of that BFR factory is expected to be completed roughly a year after construction begins, placing the inauguration of the dedicated facility sometime around the middle of 2019. Suborbital launches of the massive rocket’s upper stage spaceship are expected in 2019, while orbital launches of BFR are NET 2020.
Read the full summary of Mr. Wooster’s presentation below.
“A walk-on presentation was given by Paul Wooster of SpaceX which highlighted the recent successful test of the Falcon Heavy launch vehicle with its potentially very large payload capacity (100 metric tons). Using the Falcon Heavy and development of an even larger Big Falcon Rocket (BFR) launcher are the basis of their ambitious plans for the future exploration and colonization of Mars, potentially launching missions to Mars within the early 2020s. SpaceX’s current landing site candidates for Mars were shown, having been chosen to provide access to near-surface ice, few landing site hazards (such as large rocks), and enough space for potentially growing a sizeable outpost. The ice sites are in high mid-latitudes and the search for lower latitude candidates, which are preferred, continues. Previously, MEPAG had been told that SpaceX could transport for-fee payloads to the Mars surface. In response to questions, Paul iterated that there is likely to be capacity for secondary payloads on either the Falcon Heavy or BFR launchers, although details remain to be negotiated once the launcher capabilities are firmly established.”
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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.
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
