Put your gaming GPU to work! Remote machine learning on Windows with Docker and WSL2 from anywhere.
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
Видео Put your gaming GPU to work! Remote machine learning on Windows with Docker and WSL2 from anywhere. канала Tailscale
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
Видео Put your gaming GPU to work! Remote machine learning on Windows with Docker and WSL2 from anywhere. канала Tailscale
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24 апреля 2024 г. 20:36:25
00:18:13
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