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SpaceX Crew Dragon, four astronauts set for brief flight around the space station
To set the stage for another Dragon launch just a few weeks from now, NASA astronauts are preparing to board a SpaceX Crew Dragon for a brief flight around the International Space Station (ISS).
Orbiting roughly 400 km (250 mi) above the Earth’s surface, the ISS and its crew of seven international astronauts have just two docking ports available to manage a growing influx of SpaceX Crew and Cargo Dragon 2 spacecraft, as well as Boeing’s chronically delayed Starliner. While Starliner hasn’t flown since a near-catastrophic orbital debut in December 2019 and isn’t likely to reattempt that uncrewed flight test until the second half of 2021, SpaceX is in the exact opposite position as it prepares to sustain an unprecedented Dragon launch cadence.
One challenge of that cadence ramp – space station port logistics and availability – is now becoming clear as SpaceX nears its next Crew Dragon NASA astronaut launch.
All launched on SpaceX Cargo Dragons, including a third destroyed during Falcon 9’s CRS-7 launch failure, the International Space Station has just two perpendicular International Docking Adapter (IDA) ports – one facing space and the other facing Earth. Regardless of CRS-7’s lost port, that IDA duo was always NASA’s plan.
The ISS requires the use of a huge, robotic arm (Canadarm2) to unload unpressurized cargo from spacecraft and that arm doesn’t have the mobility to access vehicles docked to the Earth-facing IDA port, meaning that cargo spacecraft with IDA ports can really only dock on the space-facing port. Cargo Dragon 2’s use of IDA docking and the Cygnus spacecraft’s use of berthing thankfully mean that neither NASA Commercial Resupply Services 2 (CRS2) vehicle is at risk of a traffic jam.
Sierra Nevada Corporation (SNC) is set to debut the cargo variant of its Dream Chaser spaceplane as early as 2022 for annual launches and will need to share that same lone IDA port with Cargo Dragon for its (approximately) annual resupply missions. More importantly, though, Crew Dragon and Boeing’s Starliner both require the use of one of those two IDA ports to deliver astronauts to and from the ISS. Both spacecraft are also expected to leave with the same crew that launched on them, meaning that both will spend a fully six or so months in orbit on each crew rotation mission.
In general, NASA also plans to overlap all Commercial Crew Program (CCP) astronaut launches, meaning that Crew Dragon will wait for Starliner to arrive (and vice versa) before departing the ISS with its four-astronaut crew. Those use-cases and safety requirements combine to create strict, complex scheduling challenges that mean a Cargo Dragon or Dream Chaser can never be docked to the ISS during a crew handover, while also adding significant constraints to any planned private astronaut (tourist) missions to the station – of which SpaceX already has at least one.
In the meantime, though Boeing’s Starliner is now at least 18 months behind SpaceX’s Crew Dragon on the path to launching NASA astronauts to and from the ISS, SpaceX is picking up the slack to the extent that station ‘traffic’ conditions are practically unaffected. Whereas NASA’s nominal plan was to alternate between its two redundant Commercial Crew providers before Boeing ran into huge delays, SpaceX is on track to launch Crew Dragon’s Crew-2 astronaut ferry mission as early as April 22nd.
The flight-proven Demo-2 Dragon will then rendezvous with the ISS while Crew-1’s Dragon and four astronauts are still aboard the station. Crew-1 and Crew-2 will spend about a week together before the former group boards their Dragon and heads for home. As few as six or so weeks later, SpaceX could launch its second Cargo Dragon 2 resupply mission, known as CRS-22. – This morning’s “port relocation,” which will see the Crew-1 Dragon will ‘relocate’ from the station’s Earth-facing IDA to its space-facing port, is thus necessary to free up that port for Cargo Dragon’s arrival when Crew-1 departs.
Barring major delays, SpaceX is currently on track to complete another two Crew and Cargo Dragon launches in 2-3 months, marking four Dragon missions in seven months if all goes to plan. Another three Dragon missions are firmly scheduled in 2021, potentially making for seven Dragon launches in 11-12 months if schedules hold. SpaceX’s current record – technically achieved twice in 2018 and 2019 – is five orbital Dragon missions in 12 months.
Tune in below around 6am EDT (UTC-4) to catch Crew Dragon C207’s brief 46-minute jaunt around the International Space Station (ISS) – a first for an American crewed spacecraft of any kind.
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
