Yes, it could be. Unfortunately I'm a bit distracted by both paid work and some more urgent stuff but eventually I will get back to it. By then this whole rig might be hopelessly outdated but we've done some fun experiments with it and have kept our confidential data in-house which was the thing that mattered to me.

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r0b05 a day ago | parent [-]

Yes, the privacy is amazing, and there's no rate limiting so you can be as productive as you want. There's also tons of learnings in this exercise. I have just 2x 3090's and I've learnt so much about pcie and hardware that just makes the creative process that more fun.

The next iteration of these tools will likely be more efficient so we should be able to run larger models at a lower cost. For now though, we'll run nvidia-smi and keep an eye on those power figures :)

	▲	jacquesm 21 hours ago \| parent [-]
		You can tune that power down to what gives you the best tokencount per joule, which I think is a very important metric by which to optimize these systems and by which you can compare them as well. I have a hard time understanding all of these companies that toss their NDA's and client confidentiality into the wind and feed newfangled AI companies their corporate secrets with abandon. You'd think there would be a more prudent approach to this.