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Yeah, some people say they got replacements through the warranty. The problem is, this thing is really big and heavy, so boxing it up is a real pain, especially if you've had it a while and already threw out the original box.

Unfortunately those "solutions" don't work, the person who had a potential solution was able to at least go through the inputs, this is not the case here, you can't even go through the inputs.

I've tried all the potential solutions this morning. It seems permanent unless Samsung somehow finds some magic to fix it, especially since the soundbar won't connect to WiFi/internet and doesn't do anything with the USB plugged in.

Their consumer cards are the entry point for many researchers and students though, so it pays off eventually when they become engineers working with the expensive enterprise cards.

It's not just the home insurance either. Last week, I bought a car and 3 of the big insurance companies refused to insure it without a 15 days waiting/underwriting period (Geico which I've had for many years, State Farm and Progressive). It was pretty surprising, it seems like they are trying to stop offering insurance without explicitly getting out of the state or something. Thankfully, AAA gave immediate coverage.

Yeah, it's really just trying to get as much compute as possible as cheaply as possible interconnected in a reasonably fast way with low latency. Slow networking would be a bottleneck and expensive high end networking would defeat the purpose of staying cheap.

I meant each card is limited to 240w, instead of the usual 450w. Also, it's more like 4 circuits after all, because the main cpu/mb/2gpus are on a 15a too.

Never got around to writing some public docs. It's essentially bunch of GPUs on custom aluminum extrusion frames sitting in a server rack, connected to romed8-2t motherboard through pcie splitters.

Power limited to 240w, negligible performance loss while halving energy usage, uses 3 20a circuits.

Performance can range anywhere from 2x4090=1xa100 to 4x4090=1xa100 depending on models, etc.

It's great value for the money, and very easy to resell as well.

Really depends on the model and the software tricks you're using. With DDP and gradient accumulation, you can reduce the bandwidth bottleneck by quite a bit. We've trained with 4090s running at x4 lanes with very small impact. And running at x4 means you can stuff up to 26-28GPUs on a single cpu node (say epyc) and get PCIe latency and get rid of networking hassle.

Local workstation is much cheaper in the long run.

Even ignoring that, most of the development is running experiments. You're gonna be hesitant to run lots of experiments if they each cost money whereas when you pay upfront for the hardware, you're gonna have the incentive to fully utilize it with lots of experiments.

I'd go with rtx 4090 and deal with memory limitation through software tricks. It's an underrated card that's as performant as cards that are magnitude pricier. It's great way to get started with that budget.

I've been seeing a bunch of them in Bay Area, I thought it was already launched and started deliveries. In person, it looks like something out of a movie set.

The release event is in like ~30 minutes on their discord, probably the announcement went out a bit early.