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SpaceX Starlink partners with Microsoft Azure to deploy cloud computing anywhere
Microsoft Azure has announced a partnership with SpaceX that will give customers the ability to both access and deploy cloud computing capabilities anywhere on Earth with the help of Starlink internet.
Ultimately designed with anywhere from ~4,400 to ~40,000 operational satellites in mind, SpaceX’s Starlink constellation aims to connect users to the internet where existing access is either too expensive, limited, or completely unavailable. Of course, however, connecting the world’s unconnected is an immense and challenging aspiration – one that is unlikely to be one of the Starlink constellation’s first major uses.
As CEO Elon Musk has been keen to regularly note, the real challenge of SpaceX’s Starlink satellite internet project is ultimately ensuring that the constellation doesn’t join the graveyard of bankrupt companies that came before it. For better or worse, that will necessitate close relationships with as many premium enterprise-class customers as possible. With its estimated 2020 market cap of ~$370 billion expected to grow to ~$800 billion or more by 2025, cloud computing is one such potentially lucrative application.
To better exploit the benefits offered by the kind of blanket connectivity Starlink may soon offer, Microsoft has developed its own Azure Modular Datacenter (MDC), essentially a data center built into a mobile, satellite-connected shipping container. Customers can choose to either use the MDC as a wholly independent datacenter or connect it to one or more satellite constellations, Starlink included. With what a SpaceX executive recently described as dual parabolic antennas, an MDC could likely have access to gigabit-class internet connectivity with latency comparable to fiber anywhere on Earth.
According to Microsoft, possible scenarios where an MDC would be valuable include “mobile command centers, humanitarian assistance, military mission needs, mineral exploration, and other use cases requiring high intensity, secure computing.” Several Azure Mobile Datacenters have already been deployed and are being trialed by private sector companies and the US military.
Likely less than coincidental, Microsoft Azure’s Starlink partnership comes around the same time as Amazon has begun to peel back the curtains on Project Kuiper, a low Earth orbit (LEO) satellite internet constellation almost indistinguishable from Starlink. Lead and largely staffed by former Starlink executives and employees, Project Kuiper aims to deploy a constellation of ~3200 small, interlinked communications satellites – a goal Amazon has pledged at least $10 billion to achieve.
Somewhat unsurprisingly, Kuiper – lead by executives SpaceX CEO Elon Musk personally fired in 2019 for moving too slowly – has no set schedule or indication of early prototype development and is effectively 3-5 years behind SpaceX, OneWeb, and other prospective constellation operators from the get-go.
An IEEE Spectrum article offers an excellent summary of the web services. logistics, and online shopping giant’s most likely motivation behind investing so much money in a satellite constellation that is – at best – years behind.
“‘With Amazon, it’s a whole different ballgame,’ says Zac Manchester, an assistant professor of aeronautics and astronautics at Stanford University. ‘The thing that makes Amazon different from SpaceX and OneWeb is they have so much other stuff going for them.’ If Kuiper succeeds, Amazon can not only offer global satellite broadband access—it can include that access as part of its Amazon Web Services (AWS), which already offers resources for cloud computing, machine learning, data analytics, and more.”
Michael Koziol – IEEE Spectrum – 17 August 2020
In other words, Amazon likely believes that its potential advantages are so strong and so unmatched that it doesn’t matter if it’s years late to the party. On the other hand, it could also be the case that Amazon – and Amazon Web Services in particular – perceives a lack of the capabilities offered by a high-bandwidth satellite internet constellation to be such an existential threat that the company has no choice but to try to enter the fray.
As such, SpaceX’s partnership with Microsoft Azure Cloud Services is a direct shot across Amazon’s bow, demonstrating that even if Project Kuiper manages to begin operational satellite launches in just a year or two, the company will immediately face experienced, organized competition. There is some level of irony in the fact that, purely out of corporate spite, Amazon will now likely never become a Starlink customer to avoid helping a direct competitor, meaning that AWS will be consciously putting itself at a competitive disadvantage for years to come by waiting for Project Kuiper.
Tesla has reached a notable benchmark in its autonomous driving program after its Robotaxi fleet surpassed one million miles of unsupervised operation. The company made the announcement during its Cybercab event in Austin on September 3.
Tesla Vice President of AI Ashok Elluswamy told attendees he was happy to report the fleet had achieved one million miles of unsupervised Robotaxi operation as a testament to safety.
The new total marked a sharp increase from the 380,000 unsupervised miles Tesla disclosed during its second-quarter 2026 earnings update in late July.
In roughly six weeks, the company added about 620,000 miles. That acceleration followed Tesla’s decision to remove in-vehicle safety monitors from most of its operations outside the San Francisco Bay Area.
Credit: Tesla
Tesla first launched Robotaxi service in Austin in June 2025 with safety drivers present. It later began fully unsupervised rides and expanded into Dallas, Houston, Miami, Orlando, and Tampa. The San Francisco Bay Area remains the exception, where a safety monitor still rides in the vehicle under California permitting rules.
The company has not released a city-by-city breakdown of the one million unsupervised miles.
The milestone arrived as Tesla began offering public Cybercab rides in Austin. The purpose-built vehicle has no steering wheel or pedals and is designed only for autonomous ride-hailing. Production versions joined the existing fleet of modified Tesla vehicles already operating in the service.
Tesla’s unsupervised mileage is growing at a double-digit weekly rate according to earlier company comments, yet its fleet size remains modest compared with established competitors. Waymo has accumulated more than 200 million fully autonomous rider-only miles. Tesla has described its own unsupervised operations as having recorded zero notable incidents in the period leading up to the July update.
The one-million-mile figure reflects Tesla’s shift from supervised testing to broader driverless service in multiple states. It also highlights the company’s strategy of using both existing Model Y vehicles and the new Cybercab to scale its network.
Credit: Tesla
Whether the rapid recent growth continues will depend on further city expansions, regulatory approvals, and the performance of the purpose-built Cybercab in everyday paid rides. Tesla has not specified how many of the latest miles involved the new vehicle versus the rest of the fleet.
The announcement underscores Tesla’s progress toward a larger robotaxi network while illustrating the remaining gap in total autonomous experience relative to longer-operating rivals.
Tesla AI lead Ashok Elluswamy said this week that 24-hour Robotaxi service is close. Replying on X to a rider who wanted Cybercab trips all night, he wrote that the capability would arrive “next month or so” once “the next tech to merge on the v15 plan” is ready.
The comment landed on September 4, one day after Tesla opened public Cybercab rides in Austin. It is the clearest near-term timeline yet for overnight unsupervised operation. Tesla’s paid Robotaxi network currently runs from 6 a.m. to 10 p.m. seven days a week across Austin, Dallas, Houston, Miami, Orlando, and Tampa.
next month or so. the next tech to merge on the v15 plan will enable it.
— Ashok Elluswamy (@aelluswamy) September 4, 2026
That 16-hour window is shorter than the 6 a.m. to 2 a.m. schedule the company used for much of the prior year.
Elluswamy did not name the specific feature or say whether the change would apply first to purpose-built Cybercabs, the existing Model Y fleet, or both. He also offered no city-by-city rollout list. The link to Full Self-Driving v15 is nevertheless significant.
Tesla has described v15 as a step-change architecture with seven parallel improvement tracks and roughly ten times more parameters than earlier builds. Early versions of that software already operate on the Robotaxi fleet and contain about 40 percent of the planned gains.
By July 2026, the unsupervised fleet had logged more than 380,000 miles across six cities in two states with what the company called an impeccable safety record and no notable incidents caused by the vehicles themselves. Tesla has repeatedly argued that camera-based end-to-end neural networks, rather than extra sensors, are the core of the solution.
Overnight service would test that claim in lower-light conditions and would also raise vehicle utilization, a key variable for Robotaxi unit economics. The company has already begun using public Superchargers at night and is building dedicated Robotaxi charging sites.
Riders have asked why software must change if the cars already drive in the dark. The practical answer appears to be reliability and scale: Tesla has held back mass expansion until more of the v15 stack is merged, citing the need for higher confidence before putting thousands of unoccupied vehicles on streets around the clock.
If the next module arrives on the timetable Elluswamy sketched, 24-hour service could begin in October 2026 in at least some markets.
That would mark a shift from a daytime-bounded pilot to a service that can run whenever demand exists, including the late-night hours that have so far remained out of reach.
Tesla is beginning to roll out Full Self-Driving Supervised v14.3.9 with a new active safety layer that can take control even when the driver is operating the car manually.
Tesla AI said the software can activate FSD on the driver’s behalf when an imminent collision is detected and Automatic Emergency Braking may not be enough. It may also engage if the system detects heavy distraction or an accidental FSD disengagement.
FSD Supervised v14.3.9 starting to roll out shortly
This release includes a new active safety feature set: FSD Supervised can now activate on your behalf when an imminent collision is detected and Automatic Emergency Braking (AEB) may not be enough.
It may also engage if we…
— Tesla AI (@Tesla_AI) September 4, 2026
The capability is essentially Automatic Collision Evasion. However, unlike conventional AEB, which mainly applies the brakes in a straight line, this feature can use steering, braking, and acceleration together if the car calculates that stopping alone will not prevent impact and a safer path exists. The system may change lanes or move toward a shoulder when conditions allow, then continue driving after the immediate threat is handled rather than simply coming to a stop.
The intervention is meant as a last-resort safety net, not a replacement for attentive driving.
Tesla Full Self-Driving v14.3.7 early review: FSD saved me from an accident
Tesla’s own description still frames FSD as supervised assistance. Secondary reports on internal release notes say the feature can fire while the car is being driven manually if cabin-camera monitoring suggests the driver is not sufficiently attentive, such as reaching toward the back seat, or if FSD appears to have been turned off unintentionally.
After the emergency maneuver, the car is expected to alert the driver and request a return to manual control.
The safety case is straightforward. Many collisions happen in the last second because a driver is looking away, fumbles a control, or faces an obstacle that braking cannot fully solve. A system that can both recognize that AEB is insufficient and execute a coordinated evasive path can reduce those remaining high-severity events.
Re-engaging after accidental disengagement also addresses a practical failure mode: a small steering nudge that drops FSD at the worst moment. The advantage is a background safety net that uses the same vision stack already running in v14, instead of leaving the car solely to emergency braking once the driver is no longer in command.
The feature still depends on FSD being enabled and, according to reports, an active FSD purchase or subscription. It does not make the vehicle unsupervised. Drivers remain responsible, and Tesla has not published how often the system is expected to intervene or how it will handle false positives.
If the rollout is conservative and the false-alarm rate stays low, the update is a meaningful step: FSD is no longer only a feature the driver turns on. In the rare moments when disaster is already forming, it can step in.
Tesla crosses major Unsupervised Self-Driving milestone
Tesla Robotaxi will be a 24/7 service: here’s when
