r/LocalLLaMA · · 1 min read

microsoft doubles down on local ai with nvidia, but with a cost

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microsoft doubles down on local ai with nvidia, but with a cost

https://preview.redd.it/uyjw2lcrvkuh1.png?width=1536&format=png&auto=webp&s=ce991be22faec3de5cbaf39119c14782b6ed0af3

link to article

TLDR; new microsoft surface and nvidia rtx spark laptops are starting at 2.6k and hitting nearly 7k for the 128gb unified memory models. local llm hardware is REALLY getting wild.

memory crunch is really pricing out normal devs. been testing out local setups using qwen3.6-27b and kimi k2.5 connected to sumus for managing repos locally and keeping everything on device. local inference is great for privacy and keeping things off the cloud, but at these prices building a local rig or buying these laptops is tough.

what are you guys using for local dev workflows right now given these hardware costs?

submitted by /u/MooseEfficient2151
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