In my regular research (behind a paywall), I have been saying for a while that I think the future of AI is not large language models (LLM), but small language models (SLM) run on local desktop computers or even mobile phones.
Hence “x86 (desktop OS) space”. It’s not intrinsically part of x86, but it has settled in as a conventional piece of x86 desktop OSes. x86 consoles and ARM desktops don’t assume the same principle, and they can get a lot more mileage out of SoCs as a result.
Yes. The issue is not that ARM systems don’t/can’t communicate with a dGPU over PCIe. It’s that x86 systems have to basically pretend they’re using PCIe to communicate with an iGPU. (Not literally, but a lot of the primitives they use were inherited from AGP/PCI and don’t make a lot of sense for an SoC.)
That has nothing to do with x86 though…
Hence “x86 (desktop OS) space”. It’s not intrinsically part of x86, but it has settled in as a conventional piece of x86 desktop OSes. x86 consoles and ARM desktops don’t assume the same principle, and they can get a lot more mileage out of SoCs as a result.
Aren’t there arm workstations that still take pcie cards and have a similar architecture to x86?
@jumping_redditor @kibiz0r
You really need to read this series:
https://marcin.juszkiewicz.com.pl/2025/07/07/arm-desktop-2025-attempt-part-one/
Yes. The issue is not that ARM systems don’t/can’t communicate with a dGPU over PCIe. It’s that x86 systems have to basically pretend they’re using PCIe to communicate with an iGPU. (Not literally, but a lot of the primitives they use were inherited from AGP/PCI and don’t make a lot of sense for an SoC.)