QuoteLenovo built the ThinkPad X9 in 2025 to compete with the Apple MacBook Air
Why wasn't it called ThinkPad Air then? But since it has a fan, it can't be put in the same category as the Air anyway.
Weight-wise and RAM speed-wise (128-bit (aka dual-channel) at 9600 MT/s), it's good tho.
Since the RAM in this laptop is not upgradable: If you care about using this laptop for AI extensively, know that with 32 GB of memory (RAM+VRAM) and current SoTA AI LLM Qwen3.6-35B-A3B model, for its class and size[1], and its best bang for the buck, 4-bit quant, you will be restricted to about this amount of context:
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 locally: notebookchat.com/index.php?topic=315954.0 ("Your own ChatGPT, offline: AI without the cloud on your laptop") and comments.
[1] artificialanalysis.ai/models/open-source?models=qwen3-6-35b-a3b%2Cqwen3-6-27b#artificial-analysis-intelligence-index (find and select a smaller model (you can search other models in the table) that outperforms it at at same speed, the dense 27B is better, but it's much slower)