For some small channels, $100 could be more than what youtube pays for their video.

And PCBway sponsors a lot of channels.

Nice. This has been existed for too long.

A lot of "space-rated" components come from consumer space, with certification that it can work in space.

IIRC the Helicopter on Mars using the same snapdragon CPU in your phone.

Also, bit flip can happen without you knowing. A flip in free ram, or in a temp file that is not needed anymore won't manifest into any error, but then, your system is not really deterministic anymore since now you rely on chance.

I believe this is kind of survivor-bias. It's very rare that RTOSes have to handle allocating GBs of data, or creating thousands of processes. I think if current RTOSes run the same application, there would be no noticeable difference compared to mainstream OS(Could be even worse because the OS is not designed for that kind of usecases)

It needs just 1 successful attemp.

Is this similar to meshtastic? I've heard about it for a while.

They are very similar in function, as another reply said. MeshCore relies more on dedicated repeater infrastructure, and it's design seems to make it more reliable for longer range communications. Most people with solid mesh networks seem to be moving from Meshtastic to MeshCore and having improved experiences with it.

Same, with different routing :)

Can be solved with magnets and friction i guess.

>That workstation on your desk should justify its presence

It does the work you want it to do is not enough to justify its presence ?

Parent comment OP has to be trolling

Your example uses GTX1080, which is a very old GPU. Current flagship consumer GPU will take a harder hit on low bandwidth PCIE.

Here’s more recent HW: https://www.pugetsystems.com/labs/articles/impact-of-gpu-pci...

This is an RTX4080.

“In the more common situations of reducing PCI-e bandwidth to PCI-e 4.0 x8 from 4.0 x16, there was little change in content creation performance: There was only an average decrease in scores of 3% for Video Editing and motion graphics. In more extreme situations (such as running at 4.0 x4 / 3.0 x8), this changed to an average performance reduction of 10%.”

A 10% performance reduction seems like a lot to be leaving on the table.

The article is nearly 3 years old and the 4080 is not even top of the line at the written time.

Still, 10% in difference is still considerable, almost gen-to-gen difference

Could it be all the corporate-tracking software ? I used to have a M1 Pro macbook with 16gb ram when it's first released, and somehow it still feel slow when compiling.

Then try again on my friend personal M1 MB, it was night and day.

We're a small shop so nothing of that sort, it's more of larger Figma projects and modern web-apps being hogs.

Honestly, these days compiling feels like really lightweight work in terms of memory compared to so much else.