Local AI Advisor

Can Surface Laptop Ultra · RTX Spark N1X (18-core) · 24 GB run Qwen3.6 35B-A3B?

24 GB unified · 300 GB/s memory bandwidth · Qwen3.6 35B-A3B has 36B parameters (3B active per token).

Short answer

No. It doesn't fit in memory.

Needs ≈17 GB but only ≈16 GB is available after the OS, other apps and Open WebUI.

Why it doesn’t fit

Even its smallest practical version (Q3_K_M) needs about 17 GB for the model, its context memory and the runtime. After Windows (≈4.5 GB), a browser with a few tabs (≈3.0 GB) and Open WebUI (≈1.0 GB), Surface Laptop Ultra · RTX Spark N1X (18-core) · 24 GB has about 16 GB left, so it’s 2.0 GB short.

Ways to make it work

  • Close everything else

    With no other apps open, Qwen3.6 35B-A3B runs at Q3_K_M: Acceptable at 75–120 tok/s. Expect the system to feel tight while it’s loaded.

  • Pick a smaller model from the same family

  • Get more memory

    The same machine with 128 GB handles it: Excellent.

  • Check your exact setup

    These pages assume typical settings. A shorter context or a lighter chat app can change the answer.

    Check Surface Laptop Ultra · RTX Spark N1X (18-core) · 24 GB

The same applies to every workload we rate (chat, coding questions, coding in a repository, agentic coding and long documents): they all need at least as much memory as chat.

Different tool, context size or workload?

These pages use typical settings. The full check models your exact setup.