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buying those initial GPUs was the tuition we paid to learn how to run this business.
We don't do everything. We really focus on one use case.
We kind of live above the NVIDIA GPUs, but below the models. And everything in there, all the software, the integration of software and operations and observability and all the things that you need to be able to build a cloud that's purpose built for this one specific use case.
computing decommoditizes at scale, right? Like when, you know, anybody can run a GPU, but can you run a cluster that's large enough to train a model that can change the world? And that's a different question. And so we really began to think about like, how do you go about scaling up your delivery of this compute to clients, larger and larger clients?