Former Energy Options Market Maker & Compute Exchange CEO Carmen Li: Why Buying GPUs Should Work Like Trading Stocks
In a video interview published by AIE CODE, Carmen Li, CEO of Compute Exchange and Silicon Data, explains why buying compute should work more like trading on an exchange than calling hundreds of salespeople. She details how Compute Exchange operates as a neutral marketplace that owns no GPUs, verifies both providers and buyers, and handles reserved and forward contracts. Additionally, she presents Silicon Data's numbers regarding H100 and B200 GPU forward curves and the secondary server market.
This recommended resource is a video interview published by AIE CODE featuring Carmen Li, CEO of Compute Exchange and Silicon Data. Li, a former energy options market maker, discusses in the program why purchasing GPU compute capacity should adopt an exchange model similar to stock trading, rather than traditional point-to-point sales methods.
According to the episode description, Li details the mechanics of Compute Exchange: it is a neutral marketplace that owns no GPUs, verifies both providers and buyers, and handles reserved and forward contracts for GPUs and tokens, while also operating a busy market for used servers.
After a platform demo, Li turns to Silicon Data's numbers. As stated by her, forward curves for H100 and B200 have shifted up, the market expects prices to keep rising, and used H100s and B200s are holding their value well above standard depreciation.
This resource is suitable for professional readers interested in understanding AI infrastructure market structures, compute trading mechanisms, and GPU asset valuation logic. Although a full transcript is not provided, the publisher's chapter list and summary clearly define the scope of discussion, including the advantages of a neutral exchange, supply/demand verification processes, and lessons learned from energy markets.