CoreWeave Signs Multiyear AI Cloud Deal With Hudson River Trading
Key Takeaways
- •Hudson River Trading will use CoreWeave’s AI cloud for its next phase of AI-driven trading research under a multiyear agreement.
- •The deployment will rely on NVIDIA HGX B200 systems and Vera Rubin NVL72 hardware, with the latter expected to ship in 2026.
- •CoreWeave will provide high-performance computing, Spectrum-X Ethernet networking and direct technical support for the setup.
- •The arrangement is CoreWeave’s first publicly described expansion into financial services as it broadens beyond technology firms and AI labs.
- •The partnership reflects rising demand among financial firms for AI infrastructure to train more complex models and iterate faster.
Quantitative trading firm Hudson River Trading has selected CoreWeave to support its next phase of AI-driven trading research under a multiyear agreement that CoreWeave describes as worth billions of dollars.
Announced on Aug. 20, the deal will see HRT, a New York-based firm founded in 2002, run workloads on CoreWeave's AI cloud using NVIDIA Vera Rubin NVL72 and HGX B200 GPU systems. The hardware selection spans generations: the HGX B200 is part of NVIDIA's current Blackwell lineup, while Vera Rubin NVL72 is the chipmaker's next-generation rack-scale platform, which NVIDIA has said it expects to ship in 2026, indicating the deployment will phase in as new systems become available.
The deployment provides HRT with high-performance computing, dedicated Spectrum-X Ethernet networking, and direct technical support, enabling researchers to handle larger datasets and more complex models while maintaining low-latency connections to the firm's on-premises infrastructure.
The agreement also extends CoreWeave's customer base into financial services, beyond the technology companies and AI labs that have anchored demand for its specialized GPU cloud. CoreWeave, which went public on Nasdaq in March 2025, competes with the major public clouds by focusing on large-scale, purpose-built AI infrastructure, and the HRT deal shows quantitative trading firms drawing on that capacity alongside AI developers.
The partnership comes as demand for AI infrastructure grows among financial firms, with HRT seeking to train increasingly complex models and iterate more quickly as AI becomes more central to quantitative trading.
