https://www.tomshardware.com/pc-components/gpus/datacenter-g...

Others say that moderate load means a lifespan of ~5 years

Not sure what that means but I would assume that a datacenter will start replacing a node once the error rate hits a certain threshold without really investigating why it failed, so the practical lifespan may be shorter than 5 years even if it would technically still be usable enough

What I am wondering though is how long can you run such a system at basically full load without interruption before it starts to just physically degrade.

If I have a H100 and I let it run for 4 years at full throttle does it still have the same theoretical value as it had at the start or are the chips just burning out.

I think I remember that back when the cards used for crypto mining were sold en masse on ebay the advice was to stay away from them because they are more likely to fail?

  
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If I live in a big city with good public transport and have most daily need things walkable within 15 minutes and good public transport connections also within 15 minutes then I can benefit from opportunities that are farther away while also having the locality of the rest of the day to day things.

That's what I personally would consider a 15-minute city

It's like building a super tall Jenga tower very quickly but laying the bricks much worse than a careful player.

So I will hold my judgement until this has been disected a bit more

I'd also argue that most off the shelf stuff that records videos in any form uses AAC as a default simply because it's ubiquitous and thus has great cross compatibility.

But you are of course right, if I would go for a professional setup I would not recompress it

With Davinci Resolve I have to intentionally plan on making a video to be willing to use it, because it's much heavier, doesn't support the audio in most of the source videos I am using, so I have to convert that first, and does a lot more than what I usually need.

As an Austrian I am not sure how to feel about that

The "UI" for saving/loading the map and calibrating the camera is exposed through a built-in crude webserver. Visualization is done via threejs instead of having a dependency on pangolin.

If your robot can expose the camera feed as anything opencv can ingest ( i.e. mjpeg via http ) you could just point it there and then receive the pose stream via HTTP/SSE

The whole thing is distributed as an AppImage so you just run it and connect to it

https://github.com/mgschwan/ORBSlammer_LocalizationService

And are you sure about your claim? Every time I hear anything about China and Solar the core of it is that solar in China is growing more than anywhere else on the planet ( 40% increase in 2025 and creating ~11% of China's energy already )

And that there is no sign of that trend slowing down anytime soon. And why would it. Solar panels are dirt cheap and they have more than enough space for it.

China is also really strong in the battery space, so they have everything they need to ditch oil/coal eventually