Primary Photo for Thor 雷神  Schaeff

AI in the Browser and on the Edge

Presentation byThor 雷神 Schaeff

In this talk we'll take a look at the awesome open source library Transformers.js which allows us to run pretrained models right in the browser with no need for servers! Additionally we'll explore how we've brought AI inference and LLMs into Supabase Edge Functions, allowing you to run certain AI workloads faster and more cost-efficiently on the Edge!

Thor 雷神 is a Software Developer at Supabase working on DevRel and DX. He's also the organiser of HackerHouse Taiwan, aiming to bring Software Engineer from around the globe together to work from and explore Taiwan.

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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
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Primary Photo for Thor 雷神  Schaeff

AI in the Browser and on the Edge

Presentation byThor 雷神 Schaeff

In this talk we'll take a look at the awesome open source library Transformers.js which allows us to run pretrained models right in the browser with no need for servers! Additionally we'll explore how we've brought AI inference and LLMs into Supabase Edge Functions, allowing you to run certain AI workloads faster and more cost-efficiently on the Edge!

Thor 雷神 is a Software Developer at Supabase working on DevRel and DX. He's also the organiser of HackerHouse Taiwan, aiming to bring Software Engineer from around the globe together to work from and explore Taiwan.

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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