Wall Street's fastest traders are building data centers and backing chip startups to stay ahead in AI
A useful industry development showing how high-frequency trading firms are scaling AI
Wall Street's fastest traders are building data centers and backing chip startups to stay ahead in AI
Leading high-frequency trading firms are investing billions in AI compute, data centers, cloud services, and chip startups to improve machine-learning-driven trading.
A useful industry development showing how high-frequency trading firms are scaling AI infrastructure through major data-center, cloud, and chip-startup investments. It highlights growing demand for compute but offers limited technical detail; no comments or discussion are provided to assess.
Wall Street's fastest traders are building data centers and backing chip startups to stay ahead in AI 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.