en.Wedoany.com Reported - Jane Street Group, a U.S. quantitative trading firm, is advancing plans to build its own data center and is considering financing for the facility. The company has engaged with multiple firms in the technology, cryptocurrency, and financial sectors for early-stage discussions on the new facility.
Jane Street has long been regarded externally as a highly technology-driven quantitative trading institution, with its operations relying on low-latency networks, distributed systems, machine learning models, and large-scale computing resources. As AI models play an increasing role in financial market research, trading strategy optimization, risk management, and data processing, computing power is becoming one of the core infrastructures for quantitative firms. Building its own data center means Jane Street aims to gain further control over underlying computing power, networks, storage, cooling, and scheduling resources beyond cloud service procurement, to support more intensive model training and research needs.
Currently, this plan remains in its early stages, with the specific scale and location of the data center yet to be finalized. Jane Street already sources some of its computing power from its data center in Dallas and has established a partnership with cloud service provider CoreWeave. The company previously signed an approximately $6 billion AI cloud service agreement with CoreWeave and made a $1 billion equity investment, indicating it is expanding its AI computing power layout through both external cloud resources and its own infrastructure. For quantitative trading firms, computing power is not just a backend IT expense but a critical resource directly linked to the iteration speed of trading models, data processing efficiency, and research team productivity.
Such plans to build proprietary data centers also reflect that financial institutions are entering the AI infrastructure competition more deeply. In the past, large data centers were primarily built by cloud service providers, internet platforms, and professional hosting companies. As AI training and inference demands spread, some financial institutions with extremely high requirements for computing power response speed, data security, and system controllability have begun evaluating self-built or co-built models. If Jane Street proceeds with this project, key subsequent variables will focus on financing structure, power supply, chip procurement, cooling solutions, network architecture, and whether to open some capacity to external partners. For the market, this also means that the builders of AI infrastructure are expanding from tech companies to financial institutions with stronger demands in quantitative trading, crypto finance, and high-frequency computing.
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