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Because bringing up nftables is not relevant to op’s question.
Because bringing up nftables is not relevant to op’s question.
Depends on your workflow.
In short, it’s great for single user, single workflow cases, but not so much for just ingesting all kinds of docs and having truly helpful doc processing.
No v4/v6 dual stack mentioned here, nor any multi-action rules required, so nftables would be of no advantage here.
Unless you’re just saying “new thing good, old thing bad” here, I’m not sure why bother mentioning nftables.
With vanilla calibre-web, no.
There is a new project called automated calibre web or something similar that addresses this and other quality-of-life issues.
Photoprism is less “resource intensive” because it’s offloading face detection to a cloud service. There are also many who don’t like the arbitrary nature of which features photoprism paywalls behind its premium version.
If you can get past immich’s initial face recognition and metadata extraction jobs, it’s a much more polished experience, but more importantly it aligns with your goal of getting out of the cloud.
Yes, of course. Those things are also all true.
Currently still fixing alpine Linux lxc running docker that decided to stop being able to network after a PVR update.
I’ve managed to migrate my services to debian-based docker Lxc, but it bothers me that I can’t figure this out.
Best I have so far is that flushing the iptables in alpine lxc works temporarily.
I agree, but we should have diversified our trade in the 90s when we realized Mulroney’s us/can free trade agreement wasn’t going to last forever, and when it was becoming obvious that China was rising fast as a manufacturing powerhouse.
IMO, we should have forged a tightly integrated trade agreement with the EU and spearheaded the Trans Pacific Partnership way sooner.
We’re in the pickle of current events because we were largely complacent at the table of a global market that marched ahead without us in the ways we wanted.
How efficient is using a GPU? I understood the efficiency wasn’t nearly as good, but that may have been info from a while back.
It’s well worth it to get a $50 coral tpu for object detection. Fast inference speed and nearly zero CPU usage.
I did it for a few years, it looks interesting on paper, but in practice, it’s a nightmare.
At home, you’ll be getting real sick of asking for change windows to reboot your hypervisor.
At work, you will rue the day you convinced mgmt to let it happen, only to now have hypervisor weirdness to troubleshoot on top of chasing down bgp and TCP header issues. If it’s a dedicated router, you can at least narrow the scope of possible problems.