From Concrete to Compute: Why Clichmont Is Building AI Infrastructure Instead of Renting It
Spokesperson: Alexis Cathalifaud, CEO Angle Every well-funded neocloud in this category – CoreWeave, Crusoe, Lambda is racing toward the same GPU-rental model. Clichmont’s bet is different, and the opinion is to own the data centers, own the power, own the supply chain. This interview should read as a founder thinking out loud about that bet, what it costs, what it risks, and why he thinks the rest of the category has the sequencing backwards. It shouldn’t read as a product pitch or a token launch announcement. As demand for artificial intelligence compute continues to grow, the infrastructure supporting that demand is becoming a strategic consideration in its own right. Companies across the sector are racing to secure access to increasingly powerful GPUs, while questions around electricity, data-center capacity, cooling and connectivity are becoming harder to separate from the compute itself. Clichmont is taking a different approach. Rather than building its model primarily around rented GPU capacity, the company is focused on owning and controlling the physical infrastructure on which successive generations of AI hardware can operate. In this interview, Clichmont CEO Alexis Cathalifaud discusses why the company believes power and data-center infrastructure could become the more durable bottlenecks, how it approaches site selection and the challenges of scaling physical infrastructure, as well as the role of its $CLAI token within the broader ecosystem. 1) Every company in this category is fighting over GPU access right now. Clichmont’s answer is to build the data centers instead of renting the chips. Why does ownership matter more than access? Because GPU access gives you compute; infrastructure ownership gives you control over the economics of compute. For a company like Clichmont, owning or controlling the data-center layer can matter more strategically than simply securing rented GPUs.
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