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Headlines · 3
- Pony.ai, inDrive and Nvidia plan Astana robotaxi pilot
TechCrunch AI reported that inDrive, Pony.ai and Nvidia signed a memorandum of understanding to explore bringing Pony.ai Gen-7 robotaxis to inDrive’s platform, with 36Kr identifying Kazakhstan as the first pilot market. Testing is planned for Astana in the first half of 2027, initially with a safety operator, while Pony.ai would supply the vehicles, inDrive would operate the service and Nvidia would provide Hyperion and Halos technology. Fully driverless rides are described as the eventual goal rather than the starting condition.
TechCrunch AI · 🔥 0 - Meta details Prometheus, an Ohio supercluster heading toward 1 million GPUs
Meta published engineering details of its Prometheus supercluster in New Albany, Ohio, saying it already runs hundreds of thousands of Nvidia GPUs across several buildings and is planned to grow to roughly 1 million operating in lockstep. The first gigawatt-scale phase is finished and was used to train Meta's Muse family of models, including Muse Wonder, on Nvidia GB200 NVL72 and GB300 NVL72 racks, with Vera Rubin NVL72 planned for a third platform. Meta says a year of engineering cut training interruptions by 99%, from nearly 1,000 per 8,000 GPUs per day in mid-2025 to about 11, and that each 72-GPU rack trains on a 64-GPU slice with eight GPUs kept as spares.
The Next Web · 🔥 0 - Quinn Emanuel memo maps how AI data centre debt could cascade into insolvencies
A 20-page client alert from US law firm Quinn Emanuel lays out how debt fuelling the AI data centre boom could turn into a wave of lawsuits; first published in March, it circulated again this week after Semafor's Liz Hoffman reported on it. The memo names specific deals: an upstate New York data centre leased by AI cloud firm Fluidstack with a Google backstop that only begins once construction finishes, the financing behind Meta's giant Hyperion site in Louisiana, CoreWeave's GPU-backed loans, and Oracle's off-balance-sheet leases. Its central worry is that AI chips depreciate quickly, so if the GPUs used as collateral are worth less than the loans, lenders could fight over who gets paid; because many deals are linked, one default could spread, a risk the firm calls cascading insolvencies, likening GPU-backed lending to using one credit card to pay off another. The report also notes Quinn Emanuel is a litigation firm that would stand to win court work if the deals go wrong.
The Next Web · 🔥 0
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