[robbedpeter]

A cluster of many $8000+ gpus. You're looking at around 350GB of vram, so 30 12gb gpus - a 3090 will cost around $1800, so $54k on the gpus, probably another $15k in power, cooling, and infrastructure, $5k in network, and probably another $20k in other costs to bootstrap it.

Or wait 10 years, if gpu capacity scales with Moore's law, consumer hardware should be able to run a ~400GB model locally.

[coolspot]

One could use $4.5k RTX A6000 48Gb instead. They can be joined in pairs of 96Gb common memory pool with NVlink. That’s 7x$4.5=$31.5k in GPUs to get 336Gb of memory. Or 8x$4.5=$36k in GPUs to get 384Gb of memory.

Add say $3k per GPU pair for surrounding computer (MB,CPU,RAM,PSU) 4x$3k=$12k.

$48k total budget.

[coolspot]

> so 30 12gb gpus - a 3090 will cost around $1800

3090 has 24Gb, thus 15 GPUs X $1800 = $27,000 in GPUs

[etaioinshrdlu]

Can 3090 GPUs share their memory with one another to fit such a large model? Or is the enterprise grade hardware required?

[adamsmith143]

Almost no one does this on prem. What would this cost on AWS?

[cardine]

This is not true. On prem is extremely common for things like this because after ~6 months you'll have paid more in cloud costs than it would have cost to purchase the GPUs. And you don't need to purchase new GPUs every 6 months.

AWS would cost $50-100k/mo for something comparable.