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
Meet the World’s Fastest Steam-Powered Rocketbike
Go behind the scenes with Force of Nature, the world’s fastest steam-powered rocketbike. 0:00 The World’s Fastest Steam-Powered Rocket Bike 0:20 The Dream & Inspiration 1:12 How the Steam Rocket Engine Works 2:24 Pre-Race Nerves & Safety Checks 3:15 The Launch: Pulling 6Gs of Force! 4:20 Post-Race Analysis & Chasing Records Add CNET as a…
CNET
LG G6 vs Samsung S95H: One OLED Is Better!
Comparing the two biggest OLED TVs of 2026: the Samsung S95H and the LG G6. We break down the brightness, color accuracy, and gaming features to see which flagship OLED belongs in your living room. 00:00 – Introduction 00:12 – Design and Aesthetics: LG G6 vs. Samsung S95H 00:40 – Upgraded Anti-Reflective Coatings 01:07 –…
Science & Technology
Is There an AI Bubble? Two Top VCs on Valuations and ARR Inflation | StrictlyVC LA 2026
Is AI venture capital in a bubble, or are we just in the steepest growth curve anyone’s ever seen? At StrictlyVC Los Angeles 2026, TechCrunch’s Editor-in-Chief Connie Loizos sat down with Chung Xu, Partner at Basis Set, and Carter Reum, co-founder of M13, to cut through the noise. They cover… – Why this cycle is…
You can always count on people to fill in the blanks #TEDTalks
How to Invite Creativity into Your Life | Rose B. Simpson, Debbie Millman | TED
Meet the World’s Fastest Steam-Powered Rocketbike
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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.