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Put your gaming GPU to work! Remote machine learning on Windows with Docker and WSL2 from anywhere.

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Source: Self-Hosted Tech
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  • inserted_at: 2025-11-28T22:37:30Z
  • uploaded_at: 2024-04-24T15:36:25Z
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  • description: In today's video we explore sharing an NVIDIA GPU from Windows 11, running a containerized workload with docker for windows, over Tailscale to connect Immich - a self-hosted photo library - to hardware accelerate machine learning tasks. Personal accounts are always free on Tailscale and can include up to 3 users and 100 devices. Get started today at https://tailscale.com/yt Supporting Links: - https://tailscale.com/blog/docker-tailscale-guide - https://github.com/tailscale-dev/docker-guide-code-examples/tree/main/05-ts-immich-gpu - https://immich.app/docs/guides/remote-machine-learning - https://docs.docker.com/desktop/gpu/ === 00:00 - Start 01:11 - Object Search Rules! 02:06 - Machine Learning in Action 04:41 - Preparing Windows 07:37 - Hardware accelerated docker on Windows! 09:25 - Remote Machine Learning 12:27 - Bringing it all together
  • title: Put your gaming GPU to work! Remote machine learning on Windows with Docker and WSL2 from anywhere.
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