Skip to main content

Turn any podcast RSS feed into searchable transcripts, summaries, and episode chat.

No card • 10 free transcript credits
Sign up free with Google
No Priors: Artificial Intelligence | Technology | Startups
The marketplace for AI compute with Jared Quincy Davis from Foundry
No Priors: Artificial Intelligence | Technology | Startups

The marketplace for AI compute with Jared Quincy Davis from Foundry

Conviction 43m 20 months ago
At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com. Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners. Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.

Show Notes

Tap timecodes to jump
In this episode of No Priors, hosts Sarah and Elad are joined by Jared Quincy Davis, former DeepMind researcher and the Founder and CEO of Foundry, a new AI cloud computing service provider. They discuss the research problems that led him to starting Foundry, the current state of GPU cloud utilization, and Foundry's approach to improving cloud economics for AI workloads. Jared also touches on his predictions for the GPU market and the thinking behind his recent paper on designing compound AI systems.
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @jaredq_
Show Notes: 
() Introduction 
() Foundry background
() GPU utilization for large models
() Systems to run a large model
() Historical value proposition of the cloud
() Sharing cloud compute to increase efficiency 
() Foundry’s new releases
() The current state of GPU capacity
() GPU market dynamics
() Compound systems design
() Improving open-ended tasks

Transcript not yet processed.

Sign in to unlock (1 credit)

Full transcripts, AI insights,
episode chat — free.

Sign up with Google in one click. 10 unlock credits included. No card needed.

Google sign-in · No credit card · Cancel anytime