News
SpaceX hit by back to back Falcon 9 and Starship rocket delays
SpaceX has been hit by multiple back-to-back Falcon 9 launch and Starship test delays in a period of a few days, ending the company’s second attempt at a potentially record-breaking month.
Originally scheduled to launch no earlier than (NET) June 22nd, give or take, SpaceX’s own Starlink-9 satellite mission kicked off the misfortune and has suffered the most. After SpaceX announced an indefinite delay on July 11th to allow for “more time for checkouts”, Starlink-9 is not expected to launch for several more days at best. On July 13th, SpaceX announced that another summer mission targeting a NET July 14th launch had also been delayed indefinitely to allow teams to inspect the Falcon 9 rocket’s upper stage and potentially replace hardware.
Those two delays have had follow-on effects on subsequent launches planned in late July and early August but the actual end-results will be hard to determine until SpaceX has settled on alternate launch dates for Starlink-9 and ANASIS II. Meanwhile, all throughout those orbital-class launch delays, the first Raptor engine test with SpaceX’s fifth full-scale Starship has been consistently delayed and is now expected no earlier than this week (roughly July 15-19). The swath of delays have been so pronounced and oddly simultaneous that CEO Elon Musk even weighed in on Twitter yesterday, shedding a bit of light on the situation.
On July 13th, in response to a Spaceflight Now article detailing a few of those setbacks, Musk revealed that SpaceX is “being extra paranoid” – presumably the cause of most of the recent delays. Per Musk, “maximizing [the] probability of [a] successful launch is paramount” to SpaceX – not exactly a shocking revelation but still good to hear. Over the last six or so weeks, SpaceX has attempted to substantially ramp its launch cadence, targeting an unprecedented four launches in June 2020.
Delays reared their head, however, beginning with Starlink-9 around the last week of the month. SpaceX simply carried its four-launch-month ambitions into July, although that goal has already been pushed out of reach before the first launch of the month. As of July 1st, SpaceX has completed 11 launches in 2020 and has at least another 16 within tentative launch targets in the second half of the year. To complete all 16, the company would have to average almost three launches per month for the rest of 2020, a cadence it’s only managed to sustain for two or so months at a time.
Before ANASIS II’s indefinite delay was announced, Falcon 9 booster B1058 was on track to smash the world record for the fastest turnaround of an orbital class rocket, beating NASA’s Space Shuttle by ~20% (9 days). Somewhat ironically, some concerns surrounding the unflown upper stage have triggered said delay, while the record-breaking B1058 booster was apparently ready for launch. Like Starlink-9, ANASIS II’s delay is indefinite, meaning that it could last just a few days or stretch weeks into the future. If SpaceX manages to turn around for a second launch attempt before July 26th, though, B1058 still has a shot at becoming the world’s most rapidly reusable orbital-class rocket.
Meanwhile, Starship SN5 has been slowly wading through delay after delay as SpaceX’s South Texas team prepares the rocket for its first wet dress rehearsals (WDRs) with live propellant and its first Raptor engine ignition tests (i.e. static fires). As few as a few days after that test is complete, SpaceX wants to launch the massive steel rocket on the first full-scale hop test, potentially reaching 150m (500 ft) or higher before attempting to land nearby.
Prior to numerous delays, Starship SN5’s first static fire was expected to occur as early as late June or early July. As of now, SpaceX appears to be targeting the first wet dress rehearsal (WDR) with live methane and oxygen propellant (a precursor to any flight test) no earlier than (NET) July 15th to test SN5’s “fuel pump.” If successful, SpaceX would presumably move into static fire operations within a few days, followed another few days later by the first hop test attempt if the static fire was also successful.
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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
