Michael Intrator
speaker
665 appearances
5 recordings
4 series
first heard Nov 2025
last heard 10 Apr
Michael Intrator’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 5 in all, peaking in Apr 2026 with 2.
Appearances
mostly because the GPUs were, you can mine Ethereum with them, but you could also do all these other things.
And really, so right from the start, we looked at the compute as an option to be able to deploy our computing power to different use cases.
And so, you know, began the company in 2017, you know, spent the first kind of three years
mining crypto, went through a couple of crypto winters.
Because we had come from a hedge fund, we have real chops in risk management and how we think about capital and risk exposure and allocation and all of that.
And so we were really careful around that right from the start.
So we weathered crypto winter really well and began to scale the company and immediately started to look for other use cases that you could use this compute for, because crypto was pretty volatile.
So a good way to think about it is like the progression of products that we kind of started to work on.
You know, first was crypto, but we immediately moved from crypto to CGI rendering and we built
projects that would allow uh um folks that were trying to animate and render images um you know kind of what makes the movies cool right and and uh we started to work on that and then we moved to batch computing and started to look at medical research and different ways of using the compute to be able to drive science um and we just kind of kept moving up the stack in terms of complexity um
on how GPUs could be used.
And ultimately in like, call it like 2020, 2021, we started to really try to figure out how you can go ahead and use GPUs for neural networks.
And that was not something that we knew how to do.
And so we actually went out and bought a bunch of A100s and donated them to a group that was working on Luther AI.
They were working on an open source project with the thought that,
these guys are taking the GPU compute because we're donating it.
They can't really get pissed at us if we're not very good at it initially.
And that worked out really well because they can't complain about the SLA.
They kept telling us like, we need more of this.
You got to work on this.
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