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At the Canadian AI frontier with Gennady Pekhimenko, CEO & Co-Founder @ CentML

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Manage episode 482784400 series 1269056
Content provided by Nectarios Economakis and Amiral Ventures. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nectarios Economakis and Amiral Ventures 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://staging.podcastplayer.com/legal.

In this episode, I spoke with Gennady Pekhimenko, CEO & Co-Founder @ CentML - an AI company focused on optimization and efficiency. He successfully transitioned from academia to building one of Canada's leading AI companies. We discuss his background, starting with his educational background in computer science and his research at the University of Toronto and Carnegie Mellon University. Gennady raised $27 million in seed funding to take advantage of the AI wave.

The conversation explores the development and optimization of AI technology, the challenges of turning research into scalable engineering solutions, and the realization of practical applications beyond the university setting. Gennady shares insights on the importance of efficiency in AI, the company's approach to optimizing hardware and software for AI models, and the experiences of raising funds and building a team. The episode offers a deep dive into the technical and strategic aspects of growing an AI company and highlights the significance of open-source models and innovations in the evolving AI landscape.

The conversation explores the development and optimization of AI technology, the challenges of turning research into scalable engineering solutions, and the realization of practical applications beyond the university setting. Gennady shares insights on the importance of efficiency in AI, the company's approach to optimizing hardware and software for AI models, and the experiences of raising funds and building a team. The episode offers a deep dive into the technical and strategic aspects of growing an AI company and highlights the significance of open-source models and innovations in the evolving AI landscape.

  continue reading

37 episodes

Artwork
iconShare
 
Manage episode 482784400 series 1269056
Content provided by Nectarios Economakis and Amiral Ventures. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Nectarios Economakis and Amiral Ventures 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://staging.podcastplayer.com/legal.

In this episode, I spoke with Gennady Pekhimenko, CEO & Co-Founder @ CentML - an AI company focused on optimization and efficiency. He successfully transitioned from academia to building one of Canada's leading AI companies. We discuss his background, starting with his educational background in computer science and his research at the University of Toronto and Carnegie Mellon University. Gennady raised $27 million in seed funding to take advantage of the AI wave.

The conversation explores the development and optimization of AI technology, the challenges of turning research into scalable engineering solutions, and the realization of practical applications beyond the university setting. Gennady shares insights on the importance of efficiency in AI, the company's approach to optimizing hardware and software for AI models, and the experiences of raising funds and building a team. The episode offers a deep dive into the technical and strategic aspects of growing an AI company and highlights the significance of open-source models and innovations in the evolving AI landscape.

The conversation explores the development and optimization of AI technology, the challenges of turning research into scalable engineering solutions, and the realization of practical applications beyond the university setting. Gennady shares insights on the importance of efficiency in AI, the company's approach to optimizing hardware and software for AI models, and the experiences of raising funds and building a team. The episode offers a deep dive into the technical and strategic aspects of growing an AI company and highlights the significance of open-source models and innovations in the evolving AI landscape.

  continue reading

37 episodes

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