Lambda Partners with Hudson River Trading to Accelerate Quantitative Research with NVIDIA HGX B200
Key Takeaways
- ▸Lambda provides HRT with full-stack NVIDIA HGX B200 infrastructure optimized for large-scale quantitative research and trading algorithm development
- ▸The partnership demonstrates Lambda's ability to deliver the compute capacity, operational clarity, and uptime that enterprise research teams require
- ▸This collaboration reflects Lambda's continued expansion in enterprise AI infrastructure following significant funding and industry recognition from NVIDIA
Summary
Lambda, the Superintelligence Cloud, announced a partnership with Hudson River Trading (HRT), a leading quantitative trading firm, to accelerate HRT's trading research and development. The partnership provides HRT with access to NVIDIA accelerated computing infrastructure, including NVIDIA HGX B200 systems, advanced networking, storage, and orchestration capabilities.
HRT's researchers run compute-intensive workloads to train models and simulate trading strategies. As HRT's demand for compute grew, the firm needed a partner capable of rapidly delivering capacity, providing operational clarity, and ensuring the uptime critical to their operations. Lambda's full-stack architecture enables HRT to scale its research roadmap while maintaining infrastructure reliability.
This partnership arrives as Lambda continues expanding its AI infrastructure footprint following six NVIDIA awards and a $1.5B+ Series E fundraise in November 2025. The collaboration showcases Lambda's position as a leader in enterprise AI cloud infrastructure, serving tens of thousands of customers ranging from individual researchers to enterprises and hyperscalers.
Editorial Opinion
This partnership underscores the growing importance of specialized cloud infrastructure providers in the competitive quantitative trading landscape. Lambda's ability to combine NVIDIA's cutting-edge hardware with managed infrastructure services positions the company as a critical enabler for firms that require massive compute for research. For Hudson River Trading, outsourcing infrastructure management to a dedicated provider allows the firm to focus its technical talent on algorithm development rather than infrastructure operations—a strategic shift that could accelerate innovation in quantitative trading.
