DeepSeek Elastic Compute (DSec)

vblanco•about 2 hours ago

380.000 concurrent sandboxes on 160 Epyc based server nodes. Crazy stuff

dangoodmanUT•25 minutes ago

that's only 12 sandboxes per core

aabhay•16 minutes ago

Um, how is that not impressive

doc_ick•about 2 hours ago

Will admit that I haven’t read it yet, just saw the crazy number of authors and think this may compete for one of the papers with the most authors.

justinnk•about 1 hour ago

This one [0] about the Higgs boson is hard to beat. Pages 25-32 are just full of around 5150 „authors“, pages 33-37 are their affilliations.

[0] https://arxiv.org/abs/1207.7214

tempay•36 minutes ago

Even without that particularly special case, high-energy physics collaborations have long since broken the idea of authors. There are now many collaborations with hundreds of authors publishing regularly and quite a few that are into the thousands.

mendylanda•about 1 hour ago

how do you even keep up with the amount of research coming out these days

Vaslo•17 minutes ago

That number of authors though

redat00•22 minutes ago

So.. serverless ?

redat00•17 minutes ago

Still very impressive! Love how it's done!

tipiirai•9 minutes ago

Can you give a brief for what this is and why it is impressive?

swingboy•about 2 hours ago

Is there a lab more innovative than DeepSeek? Imagine if they had the same compute resources that Anthropic and OpenAI have.

ProphetOfParado•about 2 hours ago

Food for thought: Constraints are the source of creativity.

conception•about 2 hours ago

Yeah if they had the resources of an OpenAI or anthropic they’d be OpenAI or Anthropic. Scrappy underdogs have to be nimble and innovative.

mirekrusin•about 2 hours ago

They are as “underdog” as Linux is to Windows.

rozim•about 2 hours ago

Possibly relevant: 突破技术壁垒, "break the technical barricade" -> overcome an obstacle through innovation (in this case, sub SOTA GPUs at least).

Native Chinese speakers to confirm....

michaellee8•about 2 hours ago

your translation is correct, I would say Chinese labs may be able to figure out the current capability of latest frontier models in 3-6 months, but then Anthropic and OpenAI may have already been ASI in that time already. China's main problem is still lack of (good) chips, and that is a hardware issue that is unlikely to be solved for a while. and more effort for efficiency means less effort for actual capability improvements. we have already seen what anthropic can do if they focus on efficiency with opus 5.5

impulser_•about 2 hours ago

Short term they might have less compute, but long term they will most definitely have more compute. They don't have to worry about energy, they don't have to worry about people blocking them building data centers the only thing stopping them is there no Chinese manufacturer that can produce a chip as good as Nvidia but I would bet that solved in a year or so.

SmartestUnknown•about 2 hours ago

Just because other companies don't write papers about what they do doesn't mean they aren't innovative...

broodbucket•14 minutes ago

I'm actually the most innovative, I've written thousands of papers advancing the state of human knowledge. They're just in my basement and I don't show anyone.

doc_ick•about 2 hours ago

Sure, but we’ll never know what they do or if it is innovate because we won’t know what they do.

ijidak•about 2 hours ago

"Necessity is the mother of invention."

Not sure they'd be the same without the constraints.

DeepSeek Elastic Compute (DSec)

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