Ek-Hou-Van-Braai

Thought I'd share a success story.

France’s National Gendarmerie (military police) rolled out GendBuntu, their own custom Linux OS

• Around 35,000 desktops/laptops deployed by December 2011, and today 97% of 103,000+ PCs run GendBuntu
• They started by replacing Office, IE & Outlook in 2005, then moved to Ubuntu in 2008, achieving a 40% reduction in total cost of ownership
• The switch slashed annual license and maintenance costs by millions of euros (~€2 M per year and ~€50 M total) .

The switch away from big Tech to Open Source alternatives might not be easy, but it's been successfully done before.

I've seen some people point to LiMux as a failure because they switched back to MS, but where LiMux failed GendBuntu (a version of Ubuntu adapted for use by France's National Gendarmerie) runs on over 100,000 stations and is going strong.

I made this post https://piefed.social/post/931182

But when I browse Lemmy, I can't see it. aka. it's missing on https://lemmy.world/c/[email protected]

Is it a ID10T User error? or is something else happening

Cross-post from: https://lemmy.world/c/[email protected]

I'm currently running my Immich server on a mini PC with proxmox

It's got 3x N97 CPU cores available to it and 7gb of ram It's using the default ViT-B-32__openai model, I was wondering if I can use a more powerful model, but I'm not sure which one or if I should enable hardware acceleration etc.

This is my yaml file

  immich-machine-learning:  
    container_name: immich_machine_learning  
    # For hardware acceleration, add one of -[armnn, cuda, rocm, openvino, rknn] to the image tag.  
    # Example tag: ${IMMICH_VERSION:-release}-cuda  
    image: ghcr.io/immich-app/immich-machine-learning:${IMMICH_VERSION:-release}  
    # extends: # uncomment this section for hardware acceleration - see https://immich.app/docs/features/ml-hardware-acceleration  
    #   file: hwaccel.ml.yml  
    #   service: cpu # set to one of [armnn, cuda, rocm, openvino, openvino-wsl, rknn] for accelerated inference - use the `-wsl` version for WSL2 where applicable  
    volumes:  
      - immich-model-cache:/cache  
    env_file:  
      - stack.env  
    restart: always  
    healthcheck:  
      disable: false  

I looked at the docs but it's a bit confusing so that's why I'm here.

I use Qwant now instead of Google search,

I miss just being able to type 23 * 3 + 210 * 2 into the search bar and getting a answer.

I also miss just typing tsla or 1 eur to usd and getting a answer, I use FireFox, are there plugins for this?
Or what would be a workaround?