Re-Engineering Quant Infrastructure for Deterministic AI Research

Deterministic AI Research at Quant Scale | CoreWeave Whitepaper

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A Joint Whitepaper from CoreWeave & VAST

As AI expands what quant teams can test and retrain, infrastructure variance is becoming a direct tax on alpha generation. Systems built for precision and isolation now have to absorb sustained parallel pressure—and general-purpose cloud infrastructure wasn't built to handle it without introducing reproducibility and governance risk. In this joint paper from CoreWeave and VAST, we outline a coordinated architecture blueprint purpose-built for AI-scale quant research. You’ll learn: Why incremental hybridization adds coordination overhead faster than it adds research capacity The three conditions that have to hold simultaneously: deterministic compute, unified data, and verifiable execution How to evaluate whether your environment behaves as one coordinated system or a collection of loosely connected layers

Discover why general-purpose cloud falls short for quant research—and how coordinated architecture delivers deterministic performance at AI scale.

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