A level 0 master scheduled part is a form of blow-through part that forecasts at a high level among products of a similar design and can be disaggregated to level 1 and netted against actual demands to yield supply proposals within the planning time fence.
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.
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.
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.
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.