High-Frequency Traders Spend Billions on AI Compute and Chips
Top high-frequency trading firms like Jane Street and Hudson River Trading are increasing AI compute spending by 10-20x compared to pre-ChatGPT levels. To maintain their edge in market prediction, these institutions are building proprietary data centers (e.g., Jane Street's Texas facility with 4,000+ Nvidia GPUs), signing massive cloud contracts, and directly investing in chip startups such as Etched.
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High-frequency traders like Jane Street and Hudson River Trading are now racing each other for AI computing power. The biggest firms are spending billions on cloud contracts, startups, and their own data centers, Bloomberg reports. Part of the reason is that they increasingly rely on machine learning to predict market moves.
One executive estimates that compute spending is now ten to twenty times higher than it was before ChatGPT launched. XTX Markets is building a data center in Finland, and Jane Street runs one in Texas with more than 4,000 Nvidia GPUs. Hudson River spends $1 billion a year on AI, according to AI chief Iain Dunning, and signed a multiyear deal with CoreWeave. Jane Street went a different route. It invested $1 billion directly in CoreWeave and committed $6 billion to its computing services.
Jane Street also led a funding round for chip startup Etched and became the first customer for its AI chip, which is supposed to deliver more performance by running at a lower voltage. According to Bloomberg, the industry sees rising costs and fast-aging chips as real risks. Executives like Jan Boomaars, CEO of Amsterdam-based high-frequency trader Optiver, still think doing nothing is more dangerous.