Why does GPU cloud cost so much? The real economics behind AWS, Azure, and GCP pricing

IO ·

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The high cost of GPU infrastructure set by major cloud providers like AWS, Azure, and GCP stems from massive hardware procurement costs and power consumption issues. Specifically, the supply shortage of high-performance GPUs like the H100 and the scale of infrastructure investment for data centers are directly impacting profitability. Investors must carefully analyze how the increase in capital expenditures (CAPEX) by cloud companies will affect future returns.

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DYAX 전담 분석

Cloud providers are currently facing significant financial pressure as they prioritize massive infrastructure spending to dominate the AI landscape. The combination of scarcity in hardware supply and the high operational cost of power-intensive facilities is shifting the focus of cloud businesses toward capital-intensive models.

While these investments are necessary to maintain competitive advantages in AI training and inference, the long-term sustainability of these expenditure levels remains a critical concern for market analysts. Investors should monitor the relationship between CAPEX growth and the actual revenue growth driven by cloud-based AI services.

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