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Proton's biased article on Deepseek (lemmy.ml)

submitted 2 days ago by JOMusic@lemmy.ml to c/opensource@lemmy.ml

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Article: https://proton.me/blog/deepseek

Calls it "Deepsneak", failing to make it clear that the reason people love Deepseek is that you can download and it run it securely on any of your own private devices or servers - unlike most of the competing SOTA AIs.

I can't speak for Proton, but the last couple weeks are showing some very clear biases coming out.

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[-] tekato@lemmy.world 16 points 2 days ago

You can run an imitation of the DeepSeek R1 model, but not the actual one unless you literally buy a dozen of whatever NVIDIA’s top GPU is at the moment.

[-] lily33@lemm.ee 10 points 2 days ago

A server grade CPU with a lot of RAM and memory bandwidth would work reasonable well, and cost "only" ~$10k rather than 100k+...

[-] alcoholicorn@lemmy.ml 1 points 2 days ago

I saw posts about people running it well enough for testing purposes on an NVMe.

[-] Aria@lemmygrad.ml 1 points 1 day ago

Can you link that post?

[-] alcoholicorn@lemmy.ml 1 points 1 day ago

https://old.reddit.com/r/LocalLLaMA/comments/1idseqb/deepseek_r1_671b_over_2_toksec_without_gpu_on/

[-] Aria@lemmygrad.ml 2 points 1 day ago

That's cool! I'm really interested to know how many tokens per second you can get with a really good U.2. My gut is that it won't actually be better than the 24VRAM+96RAM cache setup this user already tested with though.