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Tinybox – A powerful computer for deep learning

tinygrad.org

101–110 of 372 posts

Re: Tinybox – A powerful computer for deep learning

#101

Cool that you have a dual power supply model. It says rack mountable or free standing. Does that mean two form factors? $65K is more than we can afford right now but we are definitely eventually in the market for something we can run in our own colo. It's funny though... we're using deepseek now for features in our service and based on our customer-type we thought that they would be completely against sending their d…

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Re: Tinybox – A powerful computer for deep learning

#102
"tiny" and it's 20k lbs and cost about 10k...

Since when did our perception of tiny blow out of size in tech? Is it the influence of "hello world" eletron apps consuming 100mb of mem while idle setting the new standard? Anyway being an AI bro seems like an expensive hobby...

Re: Tinybox – A powerful computer for deep learning

#103

My interest in anything associated with geohot took a colossal nose dive today after seeing this post against democracy, quoting frelling M*ncius M*ldbug: Democracy is a Liability. https://news.ycombinator.com/item?id=47469543 https://geohot.github.io//blog/jekyll/update/2026/03/21/demo... Theres a lot there that makes sense & I think needs to be considered. But a lot just seems to be out of the blue, included withou…

Geohotz's politics are fairly straightforward once you understand his background. Geohotz is the prodigy child who, at the age of ~16 accomplished amazing technical feats on his own. And his politics are a derivative of Great Man Theory, and his positions on things like democracy follow from that. This idea, and those espoused by some of the VC/tech elite like Peter Theil are that singular hardworking genius individu…

What makes it “Libertarianism” still? To me it feels like they’re taking away freedom, control, and influence from everyone who is not them. Even the concentration of wealth is itself taking away everyone else’s places in the world.

Re: Tinybox – A powerful computer for deep learning

#104

There's no way the red v2 is doing anything with a 120b parameter model. I just finished building a dual a100 ai homelab (80gb vram combined with nvlink). Similar stats otherwise. 120b only fits with very heavy quantization, enough to make the model schizophrenic in my experience. And there's no room for kv, so you'll OOM around 4k of context. I'm running a 70b model now that's okay, but it's still fairly tight. And…

It will work fine but it’s not necessarily insane performance. I can run a q4 of gpt-oss-120b on my Epyc Milan box that has similar specs and get something like 30-50 Tok/sec by splitting it across RAM and GPU. The thing that’s less useful is the 64G VRAM/128G System RAM config, even the large MoE models only need 20B for the router, the rest of the VRAM is essentially wasted (Mixing experts between VRAM and/System R…

Split RAM and GPU impacts it more than you think. I would be surprised if the red box doesn’t outperform you by 2-3X for both PP and TG

Re: Tinybox – A powerful computer for deep learning

#106
Perhaps this company should think about acting as a landlord for their hardware. You buy (or lease) but they also offer colocation hosting. They could partner with crypto miners who are transitioning to AI factories to find the space and power to do this. I wonder if the machines require added cooling, though, in what would otherwise be a crypto mining center. CoreWeave made the transition and also do colocation. The switchover is real.

I think Tinygrad should think about recycling. Are they planning ahead in this regard? Is anyone? My thought is if there was a central database of who own what and where, at least when the recycling tech become available, people will know where to source their specific trash (and even pay for it.) Having a database like that in the first place could even fuel the industry.

Re: Tinybox – A powerful computer for deep learning

#108
post #22

What’s the most effective ~$5k setup today? Interested in what people are actually running.

Biggest Mac Studio you can get. The DGX Spark may be better for some workflows but since you're interested in price, the Mac will maintain it's value far longer than the Spark so you'll get more of your money out of it.

Re: Tinybox – A powerful computer for deep learning

#109
post #107

"but if you haven't contributed to tinygrad your application won't be considered" this company expects people to work for free?

> See our bounty page to judge if you might be a good fit. Bounties pay you while judging that fit.

Literally the line above that

Re: Tinybox – A powerful computer for deep learning

#110
The problem with all these "AI box" startups is that the product is too expensive for hobbyists, and companies that need to run workloads at scale can always build their own servers and racks and save on the markup (which is substantial). Unless someone can figure out how to get cheaper GPUs & RAM there is really no margin left to squeeze out.
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