Since this has AI in its product name, but the total memory (RAM+VRAM) is only 32 GB RAM (and no dedicated, e.g. 8 GB VRAM, GPU) for a 3500 bucks price, this must be said:
RAM in consumer devices is always slow, so you want to use a appropriate MoE model, not a dense one and currently the best one, in its size class, is still Qwen3.6-35B(-A3B) (Qwen3.8-27B is released, but unfortunately no Qwen3.8-35B MoE so far). But if one uses the minimum recommended 4-bit quant of this Qwen3.6-35B, one will fit only about this much of context tokens:
Quote from: reddit.com/r/LocalLLaMA/comments/1sq94qx/is_anyone_getting_real_coding_work_done_with.. I've come to the conclusion that (1) 32768 is the biggest context I can get away with in an adequately smart model, and (2) it just ain't enough.
More about running AI models locally: notebookchat.com/index.php?topic=315954.0 ("Your own ChatGPT, offline: AI without the cloud on your laptop") and comments.
In this memory sense, any upgradable RAM + 6-8 GB VRAM gaming laptop (used for 700-800 bucks) is superior and much cheaper, even new.
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