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Why Treat Compute Like a Commodity? A Beginner's Guide to Benchmarks, Curves, and Hedging | Ornn

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The global GPU market is experiencing unprecedented growth, projected to surge from $70 billion in 2024 to $237.5 billion by 2030. As artificial intelligence drives insatiable demand for computational power, a fundamental shift is occurring: GPU compute is evolving from a specialized technology purchase into a standardized commodity that can be traded, priced, and hedged like oil, natural gas, or electricity. But what does it mean to treat compute "like a commodity," and why does this matter for businesses building with AI? Commodities have several key characteristics that GPU compute is rapidly developing. They exhibit price volatility driven by supply and demand shocks, require significant capital investment with long lead times, and become standardized enough that buyers view different sources as largely interchangeable. GPU compute increasingly fits this profile. Training large language models requires thousands of high-end GPUs operating in parallel for months, creating demand tha

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