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2
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11
Joined
3 yr. ago

  • Checo kinda got fucked in Qualifying though, sending him out first. We would have made it into Q3 for sure if RB had waited like they did for Verstappen.

  • Dual Xeon 2640v3, Quadro P2000, 6 mechanical HDDs, 5 SSDs, 8 port LSI HBA.

  • Anyone like me, one or two is fine. If you're a business, that won't be sufficient.

  • It does. I only turn it on when I need it.

  • I didn't actually know this. Now I won't get anything done on my honey-do list this weekend...

  • You only get 3 users with the free version

  • It's free for personal use, although they offer paid versions for enterprise. It's built using Wireguard, so there is a coordination server that's accessed using the web app, but all the traffic is encrypted from client to client.

  • Selfhosted @lemmy.world

    Recommendation: Tailscale VPN

  • Featured

    Welcome to !selfhosted@lemmy.world - What do you selfhost?

    Jump
  • HARDWARE:

    • Dual Xeon E5-2640v3
    • Nvidia Quadro P2000 GPU
    • 128Gb DDR4 ECC Memory
    • 4 x 4tb WD Red plus drives in raidz2 for bulk network storage
    • 2 x 500gb WD Red SSD, mirrored for fast network storage
    • 2 x 1tb Samsung EVO 870 SSD, mirrored for vms
    • 1 x 2tb WD Purple Surveillance Drive
    • 1 x 8tb Seagate Barracuda Media Drive

    PROXMOX:

    • Nginx
    • Nextcloud
    • Truenas with Backblaze B2 backup
    • 2 x WordPress sites
    • Home Assistant
    • Grafana
    • Mosquito MQTT
    • Tailscale VPN
    • ESPHome
    • 3D print server (Repetier Pro) with webcam feeds
    • Plex
    • Blue Iris NVR
    • Codeproject.ai (object detection)
    • Transmission with PIA VPN
    • Backblaze personal backup client for media

  • Object detection will be a challenge, especially for multiple cameras. It'll probably be fine if you have an Intel processor with quick sync.

    I'm running Blue Iris on a Windows VM. I also have codeproject.ai on an Ubuntu VM with a Quadro P2000 for object detection (it also does Plex transcoding, the object detection doesn't stress it very much).

    My previous "home server" was a raspberry pi running home assistant and motioneye for 2 cameras. It was able to handle it with a reasonable amount of headroom. That being said, I couldn't imagine an SBC being able to handle object detection on top of that.

  • In past seasons teams were complaining that track limits weren't being enforced consistently. I guess this is what we get.