On desktop yes but not mobile.
On desktop yes but not mobile.
The profile manager isn’t available on mobile, at least I couldn’t find it or switch accounts without completely signing out. Checks all the boxes for me on desktop though.
I travel a lot for work and stream Plex. All my media is in HEVC and I dont want to have to buy a video card for the server just so I can transcode it to Firefox when everything else can play HEVC out of the box.
Really pleased with the Sony Xperia 1 V. It’s made out of this really nice grippy material and I’m getting 2 to 3 days on a full charge. Great camera too, and it’s basically stock Android.
Syncing 2 different sets of extensions, bookmarks and browsing history across devices reliably. I wish it did work, I hate running Edge on Linux. Even regular Firefox profile sync is kinda flaky for me though.
Profile switching is a big one for me.
Also kind of nitpicky on my end, but I would like to at least have the option for H.265 support. I know they can’t include it OOTB, but I can’t even buy a license compatible with FF.
Pydio and Seafile are alternatives I’ve tried. Pydio was pretty fast too. I agree with you on Nextcloud, I want to like it but I inevitably start having issues and it’s slow even after tuning. It just tries to do too much and shouldn’t be that complex to spin up a file server.
I skimmed through their privacy policy and I’m not confident Mozilla would approve. They can share the telemetry that comes from your car, including it’s physical location.
Canadian islands because I ran out of bears.
Thanks!
As I understand it, it bind-mounts the /dev/nvidia devices and the CUDA toolkit binaries inside the container, giving it direct access just as if it was running on the host. It’s not virtualized, just running under a different namespace so the VRAM is still being managed by the host driver. I would think the same restrictions exist in containers that would apply for running CUDA applications normally on the host. Personally I’ve had up to 4 containers run GPU processes at the same time on 1 card.
And yes, Nvidia hosts it’s own GPU accelerated container images for PyTorch, Tensorflow and a bunch of others on the NGC. They also have images with the full CUDA SDK on their dockerhub.
I find I can’t get into them if I physically play them on PC. One look and I get the “potato graphics” feeling and start increasing AA, texture packs, etc. Now if I stream it to my TV or phone, it’s like “oh okay this is normal for this thing” and it tricks my brain to not caring.
I bought a System76 Pangolin 11, then replaced it with a ThinkPad X13 within a few months because the battery life was trash. Total workhorse but it would die on me in meetings if I was sharing my screen.
It doesn’t make much of a difference in the kernel, but I definitely notice it on Debian’s Firefox vs Flatpak.
Something a Gentoo user might care about is the distro’s compile time options. Ubuntu uses -O2 and LTO, Debian uses -O1. Debian has always been noticably slower overall for me.
Don’t do what I did and go with Tumbleweed. It gets more updates than Arch.
No just LTO. Right now only Ubuntu, Fedora and SUSE Tumbleweed turn it on by default.
I’ve rebased a few of my containers with SUSE and noticed some improved load times on my web services as well. I don’t run anything demanding either, just bored. It’s like half a second improvement lol.
I have a System76 Pangolin 11 with the Ryzen 7 and the battery life is trash. It would die on me during meetings from a full charge if I was sharing my screen. Not blaming System76 on this one, its probably the AMD chipset all things considered.
Replaced it with the Thinkpad X13 Gen 2 and love it. Easily gets 8 to 10 hours on OpenSUSE, and everything just works.
I try to find ways to make my setup more bulletproof or faster whenever I get the itch. As an example, I recently switched to OpenSUSE and Podman to take advantage of the LTO optimized packages and rootless containers.
I tried to run my online life through self hosting but I found a lot of the services weren’t reliable or capable enough to get real work done. So I went from 30 containers to about 7 and have a lot less to tinker with.
They have a Dockerfile that enables hardware accelerated transcoding. It’s not available on their Dockerhub unfortunately. Works great with Nvidia.
In addition to what the other person said, it can perceptually identify videos which makes tagging your library a breeze.
Unless your computer is exposed directly to the internet, your router’s firewall should be enough. Fedora typically has SELinux and AppArmor enabled by default which should protect from something nasty executing on your machine.
Don’t execute things as root if you don’t know what it is and you should be fine.