CoreWeave Secures Multi-Year AI Cloud Deal With Hudson River Trading and Rescale Partnership

CoreWeave Expands AI Cloud Services With Strategic Partnerships

CoreWeave secured a multi-year cloud deal with Hudson River Trading, one of the world's leading quantitative trading firms, to power the next generation of AI-driven trading research and model development1

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. Under the partnership announced on August 20, Hudson River Trading will leverage CoreWeave's AI cloud platform, including NVIDIA Vera Rubin NVL72 and HGX B200 GPU systems with Spectrum-X Ethernet networking, to run AI research and model training workloads2

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. The infrastructure features Spectrum-X Ethernet networking designed to minimize latency between Hudson River Trading's on-premises environment and CoreWeave's platform2

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. Following the announcement, CoreWeave shares traded 4.65% higher at $92.101

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High-Performance AI Computing for Financial Services

Kevin Lee, Head of Research & Development at Hudson River Trading, emphasized that as the firm scales its AI and machine learning research, the AI platform they build on matters as much as the models they build1

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. Hudson River Trading chose CoreWeave because they understand what it takes to run AI workloads in demanding production environments and will scale alongside the firm's growing ambitions1

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. The agreement provides Hudson River Trading access to computing clusters for training complex models, along with technical support and tools for experimentation2

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. Jon Jones, chief revenue officer at CoreWeave, said the partnership reflects demand from financial services organizations for cloud infrastructure capable of handling AI workloads in performance-critical environments2

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Rescale Partnership Extends AI Cloud Services Across Industries

CoreWeave announced that Rescale, a digital engineering platform, will expand its cloud ecosystem to CoreWeave Cloud to support AI and simulation workloads for customers across aerospace, automotive, energy, life sciences, and manufacturing1

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. Through integration with CoreWeave Kubernetes Service, Rescale customers will gain access to an AI cloud platform optimized for generative AI and high-performance computing workloads, enabling distributed simulations and AI models without managing underlying infrastructure1

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. John Moonshower, Chief Revenue Officer at Rescale, noted that as Rescale customers move deeper into AI physics and agentic engineering workflows, the compute demands are fundamentally different from traditional simulation1

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. CoreWeave's AI cloud platform is purpose-built for those workloads, ensuring engineers on the Rescale platform have the infrastructure to match their needs1

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CoreWeave's Specialized GPU-First Architecture

Founded in 2017, CoreWeave has positioned itself as a specialized cloud infrastructure provider in a market dominated by generalist giants3

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. The company operates a GPU-first architecture optimized for training and inference of generative AI models, targeting scientific and financial computing, as well as real-time 3D rendering needs3

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. With data centers located in the United States and Europe, CoreWeave maintains full control over its infrastructure, enabling high performance, low latency, and flexible deployment capabilities3

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. The company develops its own GPU management software for intelligent resource allocation, continuous performance optimization, and better cost control3

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. CoreWeave completed its public listing on Nasdaq in March 2025 and serves a diverse clientele ranging from AI startups to research labs, production studios, and financial institutions2

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. These partnerships signal growing demand for specialized AI cloud services as organizations across sectors deploy increasingly complex machine learning and neural network models in production environments.