Re-Engineering Quant Infrastructure for Deterministic AI Research

As AI accelerates the pace and scale of quantitative research, infrastructure performance, reproducibility, and governance have become critical factors in maintaining a competitive edge. In this joint paper from CoreWeave and VAST, you’ll explore an architecture designed specifically for AI-scale quant workloads.

Inside, you’ll learn why traditional cloud environments can introduce hidden constraints on research velocity, the three foundational requirements for coordinated AI infrastructure, and how to evaluate whether your environment operates as a unified system capable of supporting modern quantitative research.

Your whitepaper is available below. We hope it provides valuable insights as you assess the infrastructure needed to scale AI-driven innovation with confidence.