White Paper

Choosing the Right Architecture for Enterprise AI Workloads in Production

AI and machine learning workloads depend on accessing massive datasets to drive model development. However, when project teams attempt to transition pilots to production-level deployments, most discover their existing data architectures struggle to meet the performance demands.

This whitepaper discusses critical architectural considerations for optimizing data access and movement in enterprise-grade AI infrastructure. Discover:

  • Common data access bottlenecks that throttle AI project productivity as workloads scale
  • Why common approaches like faster storage and NAS/NFS fall short
  • How Alluxio serves as a performant and scalable data access layer purpose-built for ML workloads
  • Reference architecture on AWS and benchmarks test results