HP OmniBook Ultra 14 Core Ultra X9 review: Fully redesigned and so much better than before

[Redaktion]

The redesigned OmniBook Ultra 14 addresses the size and display criticisms of the original 2024 model while boosting graphics performance significantly. However, the new keyboard can be a mixed bag.

https://www.notebookcheck.net/HP-OmniBook-Ultra-14-Core-Ultra-X9-review-Fully-redesigned-and-so-much-better-than-before.1317970.0.html

[Enma45]

At this price, almost $2,500, Intel won't sell anything in Europe. It's an insane price for this processor and such poor performance. Everyone is waiting for 2027 to see AMD Zen 6 and the successor to PantherLake, because by then there will be five competitors: Intel, AMD, Qualcomm, Nvidia, and Apple, and they'll have to lower their prices if they want to sell.

[M2026]

@Enma45
Great post! :) I wanted to buy something like PL this year, but I will wait one more year for next gen CPUs and probably from a different manufacturer, than Intel.

[RobertJasiek]

You praise Emma45, the AI, for wishful thinking. We have to await whether next CPUs will appear in 2027 or be further delayed.

[What]

9523 MT/s is nice and all, but it's 2800 bucks for soldered only 32 GB RAM.. One can get a used/refurb 4060 Laptop for 800 (I get that this is not a gaming laptop) and it will be faster in games and the 5600 MT/s RAM will at least be upgradable to up to 64 GB and the 8 GB VRAM will allow for offloading AI LLM models partially or fully to.

Running AI LLM models locally and privately:
But why would one need more than 32 GB RAM you may ask? 32 GB RAM allow only a limited context of ~32000 tokens (= ~24000 words) for a quant of the new 35B MoE SOTA LLM Qwen3.6-35B-A3B-UD-Q4_K_M. And agentic workflows often require more than 100000 tokens, so it will not work.

.. 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.