News
SpaceX Falcon Heavy rocket to launch record-breaking communications satellite
A report on the latest in a long line of SpaceX launches significantly delayed by customer payload readiness has been updated to confirm that the satellite in question will launch on Falcon Heavy, not Falcon 9.
Hughes revealed that it had selected SpaceX to launch its Maxar-built Jupiter-3 geostationary communications satellite during an industry conference on March 21st, 2022. At the time, Hughes stated that the satellite was on track to launch in the fourth quarter of 2022, a refinement but also a delay from earlier plans to launch sometime in H2 2022. Just six weeks later, manufacturer Maxar reported that the completion of Jupiter 3 – like many other Maxar spacecraft – had been delayed, pushing its launch to no earlier than (NET) “early 2023.”
At the same time, Maxar revealed that Jupiter 3 – also known as Echostar 24 – was expected to weigh around 9.2 metric tons (~20,300 lb) at liftoff when that launch finally happens. That figure immediately raised some questions about which SpaceX rocket Hughes or Maxar had chosen to launch the immense satellite.
Earlier on, regulatory documents revealed that Jupiter 3 would have a dry weight of 5817 kilograms (~12,825 lb). In July 2018, SpaceX broke the record for heaviest commercial geostationary satellite launch when a Falcon 9 rocket successfully delivered Telesat’s 7076-kilogram (15,600 lb) Telstar 19V to geostationary transfer orbit (GTO). To account for the satellite’s weight and still allow for Falcon 9 booster recovery, SpaceX launched Telstar 19V to a transfer orbit with its apogee (high point) well below geostationary orbit, meaning that the satellite had to do more of the work of orbit-raising. In other words, it wasn’t inconceivable that Jupiter 3 would also be launched to a low (subsynchronous) GTO on a recoverable Falcon 9.
However, in hindsight, Jupiter 3’s 5.8-ton dry mass should have already made it clear that that was unlikely. Telstar 19V, for example, had a reported dry mass of just over 3 tons (~6700 lb), meaning that more than half its wet mass was fuel for orbit-raising and maneuvers. In more normal cases, large geostationary satellites tend to launch with an extra 50-80% of their dry mass in fuel, not ~130%. Even at the low end of large geostationary satellites, Jupiter 3 was likely to have a launch mass of well over 8 tons.
Small bit of breaking news at this session: The @HughesConnects Jupiter 3 satellite will be launched on a @SpaceX rocket. #SATShow— Seth Miller (@WandrMe) March 21, 2022
At 9.2 tons, Jupiter 3 will leapfrog the world record for the largest commercial geostationary satellite ever launched by 30%. Barring the possibility of secret military spacecraft, it will likely be the heaviest spacecraft of any kind to reach geostationary orbit 35,785 km (22,236 miles) above Earth’s surface. More importantly, Jupiter 3 may also have the heaviest dry mass of any spacecraft to reach GEO, meaning that the actual hardware it will use to fill its role as a communications hub will also be exceptionally large and powerful. Jupiter 3 will deliver a maximum bandwidth of 500 gigabits per second.
With its exceptional heft, a recoverable Falcon 9 launch may have only been able to loft Jupiter 3 around half the way to GTO from low Earth orbit (LEO). It was little surprise, then, to learn that Hughes and Maxar had actually selected SpaceX’s far more capable Falcon Heavy rocket to launch the satellite. Even with full recovery of all three Falcon Heavy first-stage boosters, there’s a good chance that the rocket would be able to launch Jupiter 3 most of or all the way to a nominal geostationary transfer orbit. If the center core is expended and the side boosters land at sea, Falcon Heavy would likely be able to launch Jupiter 3 to a highly supersynchronous GTO, meaning that the spacecraft’s apogee would end up well above GEO. For example, on Falcon Heavy’s Block 5 launch debut, the rocket sent the ~6.5-ton (~14,250 lb) Arabsat 6A communications satellite to a GTO with an apogee of almost 90,000 kilometers (~56,000 mi), shaving about 20% off of the satellite’s orbit-raising workload.
Falcon Heavy’s Jupiter 3 mission won’t beat the record for total payload to GTO in a single launch, held by Arianespace’s Ariane 5 rocket after a 2021 mission to GTO launched two communications satellites weighing 10.27t, but it will be just one ton shy.
Jupiter 3 is the 10th mission firmly scheduled to launch on SpaceX’s Falcon Heavy rocket between now and 2025.
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
