An analysis of xAI’s Colossus 2 discusses its plan to build a gigawatt-scale data center, alongside a distinct reinforcement-learning methodology and capital raise. It places the project in context with Colossus 1, which the account describes as a roughly 300 MW cluster with about 200,000 H100/H200 GPUs and around 30,000 GB200 NVL72 systems.
A gigawatt-scale AI data center would represent a major expansion in the infrastructure and capital required for frontier-model development.
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