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Supercomputers can evolve beyond just pre-training to become comprehensive "AI Factories" by adopting hybrid cloud-native architectures that support the entire lifecycle of foundation models.
Training a 70B parameter open-source LLM on a supercomputer reveals the hidden engineering hurdles and infrastructure adaptations needed to democratize large-scale AI development beyond the private sector.
