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…
Tinybox – A powerful computer for deep learning
101–110 of 372 posts
Re: Tinybox – A powerful computer for deep learning
#102Since 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
#103My 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…
Re: Tinybox – A powerful computer for deep learning
#104There'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…
Re: Tinybox – A powerful computer for deep learning
#105Re: Tinybox – A powerful computer for deep learning
#106I 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
#107Re: Tinybox – A powerful computer for deep learning
#108What’s the most effective ~$5k setup today? Interested in what people are actually running.
Re: Tinybox – A powerful computer for deep learning
#109"but if you haven't contributed to tinygrad your application won't be considered" this company expects people to work for free?
Literally the line above that