I would look for high GPU utilisation, positive free cash flow after capex and interest, and contracts that remain profitable as GPUs age and rental prices fall. Customer diversification is also important because dependence on a few hyperscalers increases risk.
The strongest evidence would be neoclouds funding more of their next GPU cycle from operating cash rather than repeatedly adding debt.
My credibility test: utilisation → cash flow → lower leverage → diversified customers.
If these improve while AI compute demand remains strong, the model deserves another look. If revenue rises but debt and capex grow even faster, the core concern remains unresolved.
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