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July 24, 2024

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Content provided by Fatih Yavuz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Fatih Yavuz 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://ro.player.fm/legal.
In this episode of 5 Minutes AI, hosts Victor and Sheila cover: - Elon Musk’s xAI powering on the “World's Most Powerful AI Training Cluster” with 100,000 Nvidia H100 GPUs, aiming to create the most powerful AI by December 2024. - The environmental and energy concerns surrounding the supercluster, which could require as much electricity as 100,000 homes during peak training periods. - OpenAI's plans to develop its own AI chips in collaboration with Broadcom and other designers to address the AI chip shortage and enhance software-hardware integration. - The leak of Meta’s open-source Llama 3.1 405B model, which shows promising results and could potentially outperform existing models like GPT-4o. They discuss the implications of these developments, including advancements in AI technology, environmental concerns, strategic moves in the AI chip industry, and the potential for open-source models to accelerate innovation. ★ Support this podcast on Patreon ★
  continue reading

27 episoade

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Fetch error

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Manage episode 430589205 series 3585385
Content provided by Fatih Yavuz. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Fatih Yavuz 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://ro.player.fm/legal.
In this episode of 5 Minutes AI, hosts Victor and Sheila cover: - Elon Musk’s xAI powering on the “World's Most Powerful AI Training Cluster” with 100,000 Nvidia H100 GPUs, aiming to create the most powerful AI by December 2024. - The environmental and energy concerns surrounding the supercluster, which could require as much electricity as 100,000 homes during peak training periods. - OpenAI's plans to develop its own AI chips in collaboration with Broadcom and other designers to address the AI chip shortage and enhance software-hardware integration. - The leak of Meta’s open-source Llama 3.1 405B model, which shows promising results and could potentially outperform existing models like GPT-4o. They discuss the implications of these developments, including advancements in AI technology, environmental concerns, strategic moves in the AI chip industry, and the potential for open-source models to accelerate innovation. ★ Support this podcast on Patreon ★
  continue reading

27 episoade

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