[HN Gopher] Nvidia greenboost: transparently extend GPU VRAM usi...
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Nvidia greenboost: transparently extend GPU VRAM using system
RAM/NVMe
Author : mmastrac
Score : 39 points
Date : 2026-03-15 15:59 UTC (3 days ago)
(HTM) web link (gitlab.com)
(TXT) w3m dump (gitlab.com)
| tandr wrote:
| Some simpler benchmark table would be great. May I suggest Ollama
| on base machine, Ollama with T1, Ollama with T1+T2 etc. on
| midsize and big models to compare token/sec?
| pabs3 wrote:
| Would be great to get this into mainline Linux.
| yjftsjthsd-h wrote:
| Previously: https://news.ycombinator.com/item?id=47384557
|
| (Still cool, still would benefit from better benchmarks)
| holoduke wrote:
| The is extremely slow and not useful in my opinion.
| majorchord wrote:
| I would say it depends entirely on your usecase. I don't think
| there can be a simple "not useful" generalization that applies
| to everyone.
| jauntywundrkind wrote:
| Man I wish that was a canned response that could be deployed
| on demand! Well said.
|
| I really appreciate thriftful & resourceful points of view.
| Exploring what if, looking for use is such a great virtue.
| bigwheels wrote:
| Can you elaborate beyond the shallow/superficial dismissal?
| daneel_w wrote:
| It makes the difference between being able to run a lot of
| machine learning tasks, and not being able at all. Pretty
| useful.
| bhewes wrote:
| This has been fun we can task our nemotron-3-super model to run
| over night when our desktops are idle. 4070s and 96gb of ram
| works fine. Slow but does it's job.
| daneel_w wrote:
| Related, a couple of years ago:
| https://old.reddit.com/r/Amd/comments/15t0lsm/i_turned_a_95_...
|
| "I turned a $95 AMD APU into a 16GB VRAM GPU and it can run
| stable diffusion!"
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