Unlocking the Power of GPUs and LLMs

Presentation byJosh Mesout

As the demand for large language models (LLMs) and AI-powered applications continues to grow, businesses are facing challenges in scaling compute capabilities and managing costs. GPUs have become the cornerstone of AI innovation, but their integration requires scalable and efficient solutions tailored to enterprise needs.

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Cover Photo for The Anatomy of a Thinking Machine

The Anatomy of a Thinking Machine

Daniel Ong - Jan.ai 

With the recent buzz around AI PCs, Nvidia, Windows, Intel have all jumped in with competing visions for how Local AI will work in the future.

In this talk we’ll cover how Local AI works at a software and hardware level, and how the different ecosystems of Nvidia, Windows, Intel, AMD, Qualcomm and more both compete and cooperate to enable Local AI.

Daniel is the founder of the Homebrew Computer Company, which builds tools to run local AI. He is the lead maintainer for:

  • 👋 Jan: an open source desktop AI app with 1mn downloads
  • 🧠 Cortex: a developer library to run LLMs and AI models easily
  • 🏠 Homebrew: high quality, affordable GPU servers for hobbyists and startups
Primary Photo for Daniel OngDaniel Ong

Unlocking the Power of GPUs and LLMs

Presentation byJosh Mesout

As the demand for large language models (LLMs) and AI-powered applications continues to grow, businesses are facing challenges in scaling compute capabilities and managing costs. GPUs have become the cornerstone of AI innovation, but their integration requires scalable and efficient solutions tailored to enterprise needs.

Similar Presentations
Cover Photo for The Anatomy of a Thinking Machine

The Anatomy of a Thinking Machine

Daniel Ong - Jan.ai 

With the recent buzz around AI PCs, Nvidia, Windows, Intel have all jumped in with competing visions for how Local AI will work in the future.

In this talk we’ll cover how Local AI works at a software and hardware level, and how the different ecosystems of Nvidia, Windows, Intel, AMD, Qualcomm and more both compete and cooperate to enable Local AI.

Daniel is the founder of the Homebrew Computer Company, which builds tools to run local AI. He is the lead maintainer for:

  • 👋 Jan: an open source desktop AI app with 1mn downloads
  • 🧠 Cortex: a developer library to run LLMs and AI models easily
  • 🏠 Homebrew: high quality, affordable GPU servers for hobbyists and startups
Primary Photo for Daniel OngDaniel Ong

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