Hudson River Trading Taps CoreWeave for AI Trading Platform

Hudson River Trading partners with CoreWeave to build its advanced AI trading research platform, leveraging NVIDIA's latest GPU infrastructure for high-speed quantitative finance.

Hudson River Trading partners with CoreWeave for AI platform
CoreWeave Newsroom
Visual TL;DR
HRT needs AI platformDriver
accelerating pace of financial markets demands advanced AI for trading research
From the article 3 mentionsThe agreement, announced August 20, 2026, will see HRT leverage CoreWeave's purpose-built AI cloud, including cutting-edge NVIDIA hardware like the Vera Rubin platform, and Spectrum-X Ethernet networking.
CoreWeave partnershipCore
multi-year deal announced August 20, 2026, for next-gen AI trading research
From the article 9+ mentionsHRT, a firm that has long integrated machine learning and high-performance computing into its trading strategies, sees this partnership as essential for its continued growth.
NVIDIA GPU infrastructureCore
leveraging cutting-edge hardware like Vera Rubin platform and Spectrum-X Ethernet networking
From the articleCoreWeave’s offering, which includes clusters of NVIDIA Vera Rubin NVL72 and HGX B200 GPU systems, coupled with high-throughput Spectrum-X networking, is designed to meet these exacting demands.
AI production demandsContext
CoreWeave understands running AI in demanding production environments, says Kevin Lee
From the article 5 mentions"HRT is one of the companies setting the standard for what it means to bring AI into production in a performance-critical environment," he remarked.
High-speed quant financeEffect
purpose-built AI cloud for high-speed quantitative finance and model development
Scalable AI researchEffect
From the article 4 mentionsAs AI becomes more central to quantitative research, the need for scalable, high-performance infrastructure to train increasingly complex models and process vast datasets is paramount.
Continued HRT growthOutcome
From the articleHRT, a firm that has long integrated machine learning and high-performance computing into its trading strategies, sees this partnership as essential for its continued growth.

Hudson River Trading (HRT), a prominent quantitative trading firm, has inked a multi-year deal with CoreWeave to power its next generation of AI-driven trading research and model development. The agreement, announced August 20, 2026, will see HRT leverage CoreWeave's purpose-built AI cloud, including cutting-edge NVIDIA hardware like the Vera Rubin platform, and Spectrum-X Ethernet networking.

HRT, a firm that has long integrated machine learning and high-performance computing into its trading strategies, sees this partnership as essential for its continued growth. As AI becomes more central to quantitative research, the need for scalable, high-performance infrastructure to train increasingly complex models and process vast datasets is paramount. Kevin Lee, head of Research & Development at HRT, emphasized the critical role of the underlying platform, stating, "We chose CoreWeave because they understand what it takes to run AI in demanding production environments, and because we're confident they'll scale alongside us as our ambitions do."

The pact underscores a significant trend: specialized AI cloud providers are increasingly becoming the infrastructure of choice for performance-critical industries like financial services. CoreWeave, recognized as a Visionary in the Gartner Magic Quadrant for Cloud AI Infrastructure, offers an AI-native platform designed for complex workloads. StartupHub.ai data indicates CoreWeave holds a score of 67/100, positioning it strongly in the competitive AI cloud market, with verified financials showing it raised $900 million in a junk-bond sale in 2026. HRT, meanwhile, scores 55/100 on StartupHub.ai. Other competitors in the AI cloud space, such as Nebius (69/100) and Vultr (65/100), also vie for this demanding clientele.

Accelerating Pace of Financial Markets

For quantitative trading firms like HRT, speed and low latency are not just performance metrics they are directly tied to profitability. The ability to iterate on models and execute trades fractions of a second faster can mean substantial gains. CoreWeave’s offering, which includes clusters of NVIDIA Vera Rubin NVL72 and HGX B200 GPU systems, coupled with high-throughput Spectrum-X networking, is designed to meet these exacting demands. This infrastructure is engineered for the density and throughput required for large-scale AI model training, enabling firms to keep pace with the rapid fluctuations of financial markets.

Jon Jones, chief revenue officer at CoreWeave, highlighted the significance of the financial services sector as a proving ground for AI. "HRT is one of the companies setting the standard for what it means to bring AI into production in a performance-critical environment," he remarked. CoreWeave's platform also offers dedicated, high-bandwidth networking, crucial for minimizing latency and ensuring reliable data movement between HRT's on-premises systems and the CoreWeave cloud. This is vital for handling the massive data flows inherent in modern quantitative trading.

Platform as a Differentiator

Beyond raw compute power, the partnership emphasizes the importance of a supportive developer environment. CoreWeave provides direct-to-expert technical support and a suite of tools and frameworks that empower HRT's research teams. This allows for rapid experimentation and the pursuit of more ambitious AI projects. The firm also offers features like CoreWeave ARENA, a platform for validating AI workloads before production deployment, and Mission Control for managing AI infrastructure at scale. Such integrated solutions are becoming key differentiators in the AI cloud space.

This deal further solidifies CoreWeave's position in the financial services industry, a sector known for its stringent performance and security requirements. CoreWeave's consistent delivery of industry-leading infrastructure performance, evidenced by its MLPerf benchmark results and top rankings in industry analyses, makes it an attractive partner for organizations running AI at production scale. The announcement also follows CoreWeave’s recent recognition as a Visionary in the 2026 Gartner® Magic Quadrant™ for Cloud AI Infrastructure.

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Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.