Silicon Data, a market-intelligence firm that focuses on the cost of GPUs, created what it says is the first daily index to track the specialized chips vital to powering AI. The company’s Silicon Data H100 Rental Index tracks the hourly cost of renting a GPU, according to founder and Chief Executive Officer Carmen Li. “There is zero transparency now for GPU costs,” Li said. “This is the first step, to help market participants gain transparency into the convoluted world of AI costs.” The goal is to turn GPUs into a benchmarked asset class that can be traded like any other financial instrument, Li said. The firm sources its pricing data across markets and technology companies, including so-called hyperscalers and neoclouds, according to Li. The index is normalized based on a variety of factors including GPU types, platforms and hardware configuration. That’s because GPU prices can be affected by a wide range of factors, including their brand, performance metrics, and hardware and software specifications. Silicon Data’s index is also based on historical data. It re-calibrates based on the importance of each factor at the time. The primary users of the index are banks that license and distribute it for internal risk management, hedge funds that license the underlying data, and asset managers or private equity firms that are financing or building out data centers where GPUs are used. Though the index itself can’t be traded yet, it provides a benchmark for traders and others to follow as they would a stock index. It also gives insight into the cost of goods for those building AI products or in need of GPU computing power.