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Tinybox – A powerful computer for deep learning

tinygrad.org

141–150 of 372 posts

Re: Tinybox – A powerful computer for deep learning

#141
Not sure why they stopped using 6 GPUs in thei builds - with 4 GPUs, both 9070 and rtx6000 come in 2 slot designs, so it easy to build it yourself using a bit more expensive, but still fairly regular motherboard.

With 6 GPUs you have to deal with risers, pcie retimers, dual PSUs and custom case for so value proposition there was much better IMO

Re: Tinybox – A powerful computer for deep learning

#142

10 mil today... 1k in 10 years. Are OpenAI and Anthropic overvalued?

Looking at these prices I’m just thinking that as a user it makes no sense to buy this when you can just use the subsidised stuff from AI companies and then buy it a few years later at a tiny % of the cost.

Re: Tinybox – A powerful computer for deep learning

#143

Earlier quoted context omitted.

You are still really limited in what you can run. So much stuff is cuda only.

Like what? Most of the good stuff is ported over already and anything else, tag Anush on X and see what you get. Also happy to help. The point is that they care now.

Tbh my experience is in the non AI uses, recently I was looking at Gaussian splatting tools and it seemed the majority of it was CUDA only. I’m also still bothered AMD for ages claimed my card (5700xt) would be getting rocm but just abandoned it.

Re: Tinybox – A powerful computer for deep learning

#144
post #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.

[flagged]

Re: Tinybox – A powerful computer for deep learning

#145

Earlier quoted context omitted.

If you’re spending $65,000 on this thing, needing two circuits seems like a minor problem

The $12,000 one also requires it.

The specs show that it only has one PSU. The docs just say that it has 2 and thus needs two circuits, but I’d guess that was meant to be for the more expensive one.

Re: Tinybox – A powerful computer for deep learning

#146

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…

Was that cheaper than a Blackwell 6000?

But yeah, 4x Blackwell 6000s are ~32-36k, not sure where the other $30k is going.

Re: Tinybox – A powerful computer for deep learning

#147
post #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.

Would a hedge fund that does not want to trust to a public AI cloud just buy chassis, mobos, GPUs, etc, and build an equivalent themselves? I suspect they value their time differently.

Re: Tinybox – A powerful computer for deep learning

#148
post #51

The incremental price increases between products is funny. $12,000, $65,000, $10,000,000.

I was more worried by the 600kW power requirement... that's 200 houses at full load (3kw) in southern europe... which likely means 400 houses at half load. the town near my hometown has 650 – 800 houses (according to chatgpt). crazy.

Or it's two 300kW fast EV chargers working together.

A typical home just consumes rather little energy, now that LED lighting and heat pump cooling / heating became the norm.

Re: Tinybox – A powerful computer for deep learning

#149
post #51

The incremental price increases between products is funny. $12,000, $65,000, $10,000,000.

I was more worried by the 600kW power requirement... that's 200 houses at full load (3kw) in southern europe... which likely means 400 houses at half load. the town near my hometown has 650 – 800 houses (according to chatgpt). crazy.

That’s surprising, 200 amp 240v service is pretty common in the US.

Re: Tinybox – A powerful computer for deep learning

#150

Earlier quoted context omitted.

You are still really limited in what you can run. So much stuff is cuda only.

Like what? Most of the good stuff is ported over already and anything else, tag Anush on X and see what you get. Also happy to help. The point is that they care now.

trl. give me a uv command to get that working.

But even in the amd stack things (like ck and aiter) consumer cards are not even second class citizens. They are a distance third at best. If you just want to run vllm with the latest model, if you can get it running at all there are going to be paper cuts all along the way and even then the performance won't be close to what you could be getting out of the hardware.

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