White Paper

AIStor: Hyperscale Object Storage

About This Resource
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Who This is For:

Storage architects, cloud infrastructure engineers, and enterprise AI platform teams evaluating high-performance object storage for exascale AI workloads and data lakehouse deployments.

Key Takeaways
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AIStor is purpose-built for objects only — a single-layer architecture that eliminates the compromises of general-purpose storage systems and delivers the performance AI-centric workloads require.

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By following the design philosophy of hyperscale cloud providers, AIStor delivers superior performance, resilience, and scalability across private cloud, public cloud, Kubernetes, and edge environments.

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AIStor's lightweight, container-native design is efficient enough to run in a container while powerful enough to serve as the primary storage foundation for enterprise-scale AI infrastructure.

AIStor is a distributed object store engineered specifically for high-performance, exascale AI workloads. This white paper explains the architectural decisions that shape it, beginning with the design philosophy borrowed from hyperscale cloud providers: single-layer, purpose-built object architecture that avoids the compromises introduced by general-purpose storage systems. It covers AIStor's performance characteristics for AI-centric workloads, including data lakehouses, advanced analytics, and training pipelines, its lightweight container-native design, and its deployment flexibility across private cloud, public cloud, Kubernetes distributions, and edge environments. The paper goes beyond feature coverage to explain the architectural reasoning behind each design choice, making it essential reading for storage architects and infrastructure engineers evaluating object storage for exascale AI infrastructure.

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