What’s the most effective ~$5k setup today? Interested in what people are actually running.
Tinybox – A powerful computer for deep learning
31–40 of 372 posts
Re: Tinybox – A powerful computer for deep learning
#32I'm running a 70b model now that's okay, but it's still fairly tight. And I've got 16gb more vram then the red v2.
I'm also confused why this is 12U. My whole rig is 4u.
The green v2 has better GPUs. But for $65k, I'd expect a much better CPU and 256gb of RAM. It's not like a threadripper 7000 is going to break the bank.
I'm glad this exists but it's... honestly pretty perplexing
Re: Tinybox – A powerful computer for deep learning
#33Finally, a computer that should be able to run Monster Hunter Wilds with decent performance. But let’s be real, 12k is kinda pushing it - what kind of people are gonna spend $65k or even $10M (lmao WTAF) on a boutique thing like this. I dont think these kinds of things go in datacenters (happy to be corrected) and they are way too expensive (and probably way too HOT) to just go in a home or even an office “closet”.
Re: Tinybox – A powerful computer for deep learning
#34The exabox is interesting. I wonder who the customer is; after watching the Vera Rubin launch, I cannot imagine deciding I wanted to compete with NVIDIA for hyperscale business right now. Maybe it’s aiming at a value-conscious buyer? Maybe it’s a sensible buy for a (relatively) cash-strapped ML startup; actually I just checked prices, and it looks like Vera Rubin costs half for a similar amount of GPU RAM. I’m certai…
> The exabox is interesting. Can it run Crysis?
Re: Tinybox – A powerful computer for deep learning
#35My 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…
Re: Tinybox – A powerful computer for deep learning
#36What’s the most effective ~$5k setup today? Interested in what people are actually running.
Re: Tinybox – A powerful computer for deep learning
#37What’s the most effective ~$5k setup today? Interested in what people are actually running.
DGX Spark is a fantastic option at this price point. You get 128GB VRAM which is extremely difficult to get at this price point. Also it’s a fairly fast GPU. And stupidly fast networking - 200gbps or 400gbps mellanox if you find coin for another one.
Re: Tinybox – A powerful computer for deep learning
#38My 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…
Re: Tinybox – A powerful computer for deep learning
#39What’s the most effective ~$5k setup today? Interested in what people are actually running.
Re: Tinybox – A powerful computer for deep learning
#40There'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…
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 RAM has basically no performance benefit).