The Importance of GPUs in a Data Science Environment

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I want to kind of turn in a second toward just kind of the macro context that's driving, you know, all of the concern and focus on utilization. These things are not, they're not cheap by default, and they're getting bid up at the current moment. So that puts you in a position to be even more valuable. And if you want to see your limits, you're not going on energy piece to like other GPUs, that's a big deal.

Nathan Labenz sits down with Dr. Ronen Dar, CTO and co-founder of Run:ai, an Israel-based company that helps enterprises train and deploy AI models by optimizing GPU usage. The discussion covers how chip makers can meet the soaring demands, geopolitical fears, to the best practices companies can secure compute capacity. If you’re looking for an ERP platform, check out our sponsor, NetSuite: http://netsuite.com/cognitive

We're hiring across the board at Turpentine and for Erik's personal team on other projects he's incubating. He's hiring a Chief of Staff, EA, Head of Special Projects, Investment Associate, and more. For a list of JDs, check out: eriktorenberg.com.

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TIMESTAMPS:

(00:00) Episode Preview

(00:51) Introduction to Dr. Ronen Dar

(03:30) Run:ai's technology and what differentiates it from other solutions

(06:00) Today's market compared to when Dr. Ronen started five years ago

(13:40)Run:ai on market competitors like mosaicML

(14:55) Sponsors: NetSuite | Omneky

(22:00) The process and best practices by which companies secure compute capacity

(25:00) Dr. Ronen explains the GPU shortage

(31:50) GPU solutions

(36:00) Relative pricing across major providers

(41:00) What other chip makers are going to be relevant?

(49:00) Global outlook for chip production

(52:45) Worldview around the US-China AI race

(58:00) Can controls on hardware actually control access to AI?

LINKS:

https://www.run.ai/

SOCIAL MEDIA:

@labenz (Nathan)

@ronen_dar

@runailabs (Run:ai)

@cogrev_podcast

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