data center

also referred to as: data centers · datacenter

9 statements across 8 episodes · 3 bullish · 0 bearish · 8 people on the record · first statement Dec 5, 2023 by Dylan Patel · across every show →

Everything said about data center, oldest first

Dec 5, 2023 neutral
Assertion Contradicted
Patel: Large-scale AI training currently requires a single data center
“Everything that we've seen so far is that large-scale training has to happen in an individual data center with very high-speed networking.”
Dylan Patel Dec 5, 2023 ▶ 1:06:07 The State of Silicon and the GPU Poors - with Dylan Patel of SemiAnalysis
Jan 2, 2024 neutral
Prediction Not checkable as stated
Doshi predicts AI will split between local models and data centers
“Yeah, I think there still will be, you know, local models and then there'll be these very large models that have to be run in data centers.”
Suhail Doshi Jan 2, 2024 ▶ 7:39 The AI-First Graphics Editor - with Suhail Doshi of Playground AI
Jun 25, 2024
Assertion Not checkable as stated
Frankle: Most AI data centers are retrofitted, not built for high heat
“In data centers that for the most part were not built remotely for this kind of power or heat and have been retrofitted for this. Like failures happen on a good day with normal CPUs. And this is not a good day and not a normal CPU for the most part.”
Jonathan Frankle Jun 25, 2024 ▶ 12:41 State of the Art: Training 70B LLMs on 10,000 H100 clusters
Oct 19, 2024 neutral
Assertion Supported
Fanelli: Singapore recently lifted its data center construction moratorium
“The moratorium that Singapore had on data center built out that was lifted recently, obviously, you know, that's a forward-looking thing.”
Alessio Fanelli Oct 19, 2024 ▶ 23:02 Singapore: the AI Engineer Nation — with Minister Josephine Teo
Apr 11, 2025 bullish
Disclosure
Conrad: SF Compute plans cash-settled futures to de-risk data centers
“What we're trying to do is create an underlying spot market that gives you an index price that you can use. And then with that index price, you can create a cash settled future. And with a cash settled future, you can go back to the data centers and you can sa…”
Evan Conrad Apr 11, 2025 ▶ 48:00 SF Compute: Commoditizing Compute
Jun 3, 2026 neutral
Insight
Nadella warns AI datacenters require delivering tangible benefits to local communities
“Unless we as an industry are very principled about ensuring That the benefits of all the stuff we're talking about are felt in real ways at the community level, right? Because this is not just a campaign right? It has to be real where people are saying, look, …”
Satya Nadella Jun 3, 2026 ▶ 34:26 Satya Nadella on AI: @NoPriorsPodcast x Latent Space Crossover Special at Microsoft Build 2026
Jul 16, 2026 positive
Opinion
Beam: The lab of the future should look like a data center
“But we think that like the lab of the future should not be made for people to easily walk into it. It should feel like a data center where you go and you see the rows of server racks. There's room for like a crash cart behind it to service the nodes. But it sh…”
Andy Beam Jul 16, 2026 ▶ 1:05:56 🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
Jul 16, 2026 bullish
Disclosure
Beam: Future AI labs will be million-square-foot, lights-out data centers
“We do think about scaling it In the same way that you would think about scaling a data center, in that it's a multi-level building, occupies millions of square feet, and it's like a lights-out facility, as they say. It's like running 24 seven, generating data …”
Andy Beam Jul 16, 2026 ▶ 1:09:00 🔬 RL with Verifiable Rewards, but the Verifier is a Lab — Lila Sciences
Aug 3, 2026 neutral
Insight
Local AI optimizes for memory fit; data centers optimize for speed
“The difference between inference engineering for the data center and for production workloads versus inference engineering for local AI is that we start with fundamentally like different constraints and different goals. With local AI, it's how do I fit this mo…”
Philip Kiely Aug 3, 2026 ▶ 48:17 Next 100x in AI: Inference, Networking, & Self-Optimizing Models — Philip Kiely & Ali Taha, Baseten
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