QuoteCurrently, the workstation starts at JPY 575,300 (~$3,635), including taxes, with the Ryzen AI Max Pro 485, 32 GB of LPDDR5x 8533 RAM
So 3,635 bucks for somethig that can't even run SOTA (in its class size) AI LLM model[1] huggingface.co/unsloth/Qwen3.6-35B-A3B-MTP-GGUF at a minimum required Q4_K_XL quant with proper 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.
It's also possible to calculate the available context[2]: 16,384 [KV cache context tokens per GB]*(32 [GB total memory] - 6 to 8 [GB for the OS] - [GB quant filesize]):
~34,400 context tokens = 16,384*(32-7[3]-22.9) (confirms the quote)
Agentic workflows often exceed 60,000 context tokens.
Recalculating with an additional 8 GB VRAM GPU:
165,500 = 16,384*(32-7-22.9+8)
So, in this memory sense, any normal gaming laptop that has a 6-8 GB VRAM GPU is superior and possibly even cheaper. It's also going to have upgradable RAM.
And since Gorgon Halo is just a software patched, rename/refresh of Strix Halo (just like Ryzen AI 400 is a rename/refresh of Ryzen AI 300 series is) allowed to go from up to 128 GB RAM to up to 192 GB RAM, why waste Gorgon Halo APUs on something that you, HP, allow only up to 128 GB RAM? Just use Strix Halo for everything up to 128 GB RAM. And ideally maybe don't use Gorgon/Strix Halo for only 32 GB RAM, because RAM / unified memory, can't be updated.
And, generally, you get more memory per buck if you get a desktop PC (and get a much cheaper iGPU-only laptop for everything else/non-AI).
[1] artificialanalysis.ai/?models=qwen3-8-27b%2Cqwen3-8-27b-medium%2Cqwen3-8-27b-low%2Cqwen3-8-27b-non-reasoning%2Cqwen3-6-35b-a3b%2Cqwen3-6-35b-a3b-non-reasoning&intelligence=artificial-analysis-intelligence-index
[2] reddit.com/r/Qwen_AI/comments/1vo8pjz/qwen3827b_kv_cache_works_out_to_64_kibtoken_so/
[3] techpowerup.com/353395/windows-11-26h2-update-lowers-ram-consumption[/quote]