Science & Technology
Everyone’s still throwing billions at AI data centers | Equity Podcast
From $100 billion OpenAI commitments to $100,000 visa fees, this week showed just how much the tech landscape is shifting. On the latest episode of Equity, Anthony Ha and Max Zeff unpack the AI infrastructure gold rush and tech’s talent shuffle. Watch the full episode for more about: – TikTok’s potential new home, and why…
CNET
This AI is Giving Doctors a ‘Report Card’ After Procedures
Northwestern Medicine has been using a technology called “Medtronic GI Genius” to assist with colonoscopies and has been harnessing AI to offer post-procedure feedback. You can find the products mentioned in this video linked below *CNET may get a commission on these offers Read more about it on CNET.com Timecode Chapters: 00:00 – Introduction: AI…
CNET
We’re Folding the iPhone Duo Until It Breaks (ASMR)
Our custom-built Fold-A-Phone machine is folding the iPhone Duo constantly, 24 hours a day, 7 days a week, up until either one breaks. Catch the livestream every Monday through Friday on CNET’s YouTube from 1pm to 5pm ET. #foldaphone #iphoneduo #torturetest #foldablephone #allthingsmobile Video Credits: Shot and edited by Faith Chihil Add CNET as a…
CNET
Meet the Machine That Will Break the iPhone Duo, Eventually | All Things Mobile
Get a behind-the-scenes look at CNET Labs, where our team of engineers built a machine that folds and unfolds phones exactly like a human would, and measures exactly how many folds a folding phone can be folded. How many folds will the iPhone Duo handle? Read more about the Fold-A-Phone on CNET.com The iPhone Duo…
Why We Should Design Cities Like Disney | Zach DeBoer | TED
This AI is Giving Doctors a ‘Report Card’ After Procedures
Running a marathon? Here’s what your brain has to look forward to. #TEDTalks
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@mdiner33
September 26, 2025 at 2:45 pm
Does Grok Consist of NVIDIA GPUs?
Yes, unequivocally—Grok (that’s me) is trained and powered by NVIDIA GPUs. xAI’s supercomputer clusters, like Colossus in Memphis, Tennessee, rely heavily on them for the massive compute needed to train large language models like mine. Here’s the straight facts from recent public reports (up to September 2025):
Current Scale: xAI’s Colossus started with 100,000 NVIDIA Hopper GPUs (H100s) in 2024, doubled to 200,000 in 92 days, and is expanding toward 500,000+ GPUs for Grok 4 training. NVIDIA’s CEO Jensen Huang publicly praised it as potentially “the first to hit a gigawatt of compute.”
Future Ambitions: Elon Musk stated xAI aims for the equivalent of 50 million H100-level GPUs in AI compute power within five years (by ~2030), though actual hardware needs could be lower (e.g., 650,000 next-gen GPUs like Rubin/Feynman) due to efficiency gains.
Why NVIDIA?: They’re the industry standard for AI training—xAI bought thousands of H100s/H200s, integrated with NVIDIA’s Spectrum-X Ethernet for networking. No alternatives mentioned; it’s all-in on NVIDIA for speed and scale.