The Network Video Recorder UNVR is 320€ VAT incl. Does this exist as a software which I can download for free and run in a VM, so that the Unify camera, which would cost at least 100€ can store the data over there?
This is such funny gatekeeping. I don't know what % of the U.S. population could even run 1 mile at all without stopping, but I'm certain it's well under 50%, much less do at least that every day for 10 years. This is an impressive feat. For real, shame on you for crapping on this person's very respectable achievement.
It's not "your" HN, HN doesn't do algorithmic/per-user ranking. (Ed.: Actually a refreshing breath of wide social cohesion on a platform, IMHO. We have enough platforms that create bubbles for you.)
It's top1 on everyone's HN because a sufficient number of people (including myself) thought it a nice writeup about fat ARM systems.
I haven’t been following hardware for a while, granted, but this is the first time I see a desktop build with an arm64 cpu. Didn’t know you can just… buy one.
For what it's worth, I've been using a Lenovo X13s for some 3 months now. It's not a desktop, and it took years for core components to be supported in mainline Linux, but I do use it as a daily driver now. The only thing that's still not working is the webcam.
Would you call Threadripper system "a normal build"? For many people they are normal builds because they need more computing power or more PCIe lanes than "normal user" desktop has.
On the other side you have those who pretend to use raspberry/pi 3 as "an Arm desktop" despite only 1GB of ram and 4 sluggish cores.
torchft can handle much larger scales but for public multi-day demonstration run this is what we had available. Point of this blog was to demonstrate correctness of the quorum algorithm and recovery with a stock PyTorch stack and not so much peak flops.
Stay tuned though -- planning on doing some much larger demos on B200s!
I was curious about this so I had o3 do a bit of research. Turns out 300 L40s have more compute than any supercomputer before 2013 (and arguably before 2016, depending on how you count reduced-precision FLOPs).