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Linux or Landfill? End of Windows 10 Leaves PC Charities with Tough Choice
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this post was submitted on 15 Mar 2025
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Some modern workloads can take advantage of multiple computers. You can usually compile using things like distcc and spread the load across them.
If you make them into a Kubernetes cluster you can run many copies or many different things.
It's still an unsolved problem: we still end up with single core bottlenecks to this day, before even involving other machines altogether.
Yes. It's always the bandwidth that's the main bottleneck, whether CPU-Memory, IPC, or the network.
Screw quantum computers; what we need is quantum entangled memory sharing at a distance. Imagine! Even if only within a single computer, all memory could could be L1 cache.