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JoeBen Bevirt Yolan Yan
+4 more
Sarah Friar Eric Schmidt Krishna Rao Cliff Weitzman

Nvidia

Product

9 creators

Autonomous aircraft safety stack; layering Joby's autonomy systems on top of NVIDIA's platform used for autonomous driving and robotics

"NVIDIA is an incredible partner. They've invested vast sums of people hours into building this really safe autonomy stack. They're using that for autonomous driving, using that for robotics, and we're able to layer on top of that for all the work we're doin..."

JoeBen Bevirt

How AI is Creating New Millionaires ▶ 19:06
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Running AI models locally with better performance

"I would actually recommend using Nvidia chips for running a lot of these models. It's much better performance."

Yolan Yan

Anthropic wants to slow AI down and Bernie wants 50%: JCal Reacts | E2297 ▶ 13:27

AI training chips and compute infrastructure

"Nvidia remains our absolute priority partner. They have the Frontier chip. Our next big training run in the fall will be done on Rubin."

Sarah Friar

OpenAI CFO Sarah Friar on IPO, AI Rivalries, New Device, and Spending $100B+ on Compute ▶ 24:18
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Cerebras

Software

4 creators

Building fast voice-driven interactive demos

"I built demos in the past against Cerebras directly, where the really fun thing is exactly what they're showing there. When you hook up a voice model and you can literally say to your screen, 'Actually show me a chart like this.' That's super fun."

Simon Willison

LIVE: OpenAI DevDay 2026 ▶ 11:37
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Running AI search/retrieval models at high token throughput (3,000+ tokens/sec)

"That model on Cerebras today already runs at 3,000 tokens per second. We were targeting context running at like 15,000 or 20,000 tokens per second on that chip, and that's going to come this year."

Jeff Huber

Kushner and Iger are Buying The Lakers, Grok 4.6, AI Watermarks, Nuclear Jellyfish ▶ 1:18:14

AI inference workloads

"I'm a big fan of Cerebras. In inference, it's a godsend. It's super fast and it's made certain compromises that make it very very good for that."

Mike Volpi

Mike Volpi on Why AI Breaks Traditional Venture Capital | Ep. 52 ▶ 35:16
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AMD

Product

2 creators

Inference disaggregation partnership to increase total throughput by 5x while maintaining Cerebras speed

"We're doing disaggregation with AMD and with AWS, where you think about in the work of inference, is there a part that can be done by somebody else and is there a part that can be done by you, such that the result is higher throughput. With AMD we're seeing..."

Andrew Feldman

Andrew Feldman on Building Cerebras and the Future of Chips | Ep. 57 ▶ 54:21
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AI training and inference workloads

"AMD is the only option that was available during supply constraints. They started off great on the hardware side, focusing on adding more HBM than what you can find on a comparable Nvidia chip."

Jeff Dartuk

Bezos AI Play, Future of Airports, Trucking is Back, CAA Fund ▶ 1:42:38
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Products are related to this topic through catalog tags. Quotes describe the creator’s stated use; they are not necessarily recommendations for this topic.

Creator counts cover all uses and all dates. Each person counts once per product family. Paid promotions and passing mentions are excluded. Items are ordered by creator count, then name.

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