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…
Science & Technology
When A Down Round Actually Saved a Startup
Down rounds carry a stigma, but they’re not always the end of a startup’s story. Charles Hudson of Precursor Ventures shares an example of a company that survived a difficult fundraising process involving a down round and investor-friendly terms. It wasn’t easy, but making the hard financing decision ultimately gave the company a chance to…
CNET
The Ultimate Meal Kit Buyer’s Guide: Cheapest vs. Best Quality
Choosing the right meal kit can be tough, given the many budget, dietary and time-saving factors to consider. We break down premium, midtier and affordable services to help you pick the best subscription for your kitchen. 00:00 Intro to Meal Kits 00:37 Considering the Price and Budget Options 01:55 Premium and Mid-Range Meal Kit Services…
Science & Technology
These Two Founder Archetypes Are Catching Investors’ Eyes
Do you fit into one of the trendiest founder archetypes? Fundraising has always been competitive, but today’s market is especially tough for first-time founders. In the latest episode of our Build Mode podcast, Charles Hudson of Precursor Ventures breaks down the most popular founder archetypes right now: repeat founders with proven track records and exceptionally…
When A Down Round Actually Saved a Startup
The Ultimate Meal Kit Buyer’s Guide: Cheapest vs. Best Quality
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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.