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Launching the Fastest AI Inference Solution with Cerebras Systems CEO Andrew Feldman

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Manage episode 436502515 series 3011550
Content provided by Lukas Biewald. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lukas Biewald or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of Gradient Dissent, Andrew Feldman, CEO of Cerebras Systems, joins host Lukas Biewald to discuss the latest advancements in AI inference technology. They explore Cerebras Systems' groundbreaking new AI inference product, examining how their wafer-scale chips are setting new benchmarks in speed, accuracy, and cost efficiency. Andrew shares insights on the architectural innovations that make this possible and discusses the broader implications for AI workloads in production. This episode provides a comprehensive look at the cutting-edge of AI hardware and its impact on the future of machine learning.

✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz

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Connect with Andrew Feldman:

https://www.linkedin.com/in/andrewdfeldman/

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Paper Andrew referenced Paul David- Economic historian

https://www.jstor.org/stable/2006600

  continue reading

109 episodes

Artwork
iconShare
 
Manage episode 436502515 series 3011550
Content provided by Lukas Biewald. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Lukas Biewald or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

In this episode of Gradient Dissent, Andrew Feldman, CEO of Cerebras Systems, joins host Lukas Biewald to discuss the latest advancements in AI inference technology. They explore Cerebras Systems' groundbreaking new AI inference product, examining how their wafer-scale chips are setting new benchmarks in speed, accuracy, and cost efficiency. Andrew shares insights on the architectural innovations that make this possible and discusses the broader implications for AI workloads in production. This episode provides a comprehensive look at the cutting-edge of AI hardware and its impact on the future of machine learning.

✅ *Subscribe to Weights & Biases* → https://bit.ly/45BCkYz

🎙 Get our podcasts on these platforms:

Apple Podcasts: http://wandb.me/apple-podcasts

Spotify: http://wandb.me/spotify

Google: http://wandb.me/gd_google

YouTube: http://wandb.me/youtube

Connect with Andrew Feldman:

https://www.linkedin.com/in/andrewdfeldman/

Follow Weights & Biases:

https://twitter.com/weights_biases

https://www.linkedin.com/company/wandb

Join the Weights & Biases Discord Server:

https://discord.gg/CkZKRNnaf3

Paper Andrew referenced Paul David- Economic historian

https://www.jstor.org/stable/2006600

  continue reading

109 episodes

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