White Paper

Re-Engineering Quant Infrastructure for Deterministic AI Research

As AI expands what quant teams can test and retrain, infrastructure variance is becoming a direct tax on alpha generation. In this whitepaper, CoreWeave and VAST Data outline a coordinated architecture blueprint purpose-built for AI-scale quant research, without sacrificing reproducibility, data coherence, or governance confidence. 

This white paper covers:

  • 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

  • How a coordinated data layer eliminates staging delays, dataset duplication, and GPU idle time

  • Six checks to assess your infrastructure before your next scaling decision

WHITE PAPER: CoreWeave Quant Research

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