AI-Native Object Storage for theIntelligent Cable Network

The cable industry is entering the Experience Era, and the data foundation is critical. AI-driven network operations, closed-loop automation, subscriber experience modeling, and edge intelligence are generating an unprecedented wave of telemetry, training data, and operational context. But most of this data isn't AI-ready. It's siloed across systems, trapped in proprietary formats, and disconnected from the compute that needs it.

How AIStor Solves Top Cable Industry Initiatives

• Network Intelligence & AIOps — AIOps and predictive maintenance require high-throughput dataaccess at GPU-cluster scale and deep historical telemetry, not 90-day retention windows truncated tofit the budget. AIStor delivers the throughput GPU clusters demand with native support for AI datapipelines, model checkpoints, embedding stores, and RAG retrieval. Storage efficiency lets operatorskeep full-fidelity proactive network maintenance (PNM) data at scale. Train ML models on completedatasets, not sampled fragments.
• Subscriber Experience Analytics — Modeling what subscribers actually experience requires correlatingWi-Fi telemetry, customer premise equipment (CPE) diagnostics, application quality of experience (QoE),and support data at scale. This is a lakehouse problem. AIStor's exascale object storage with nativeApache Iceberg™ integration creates a high-performance data lakehouse for experience analytics. Querywith any engine. No per-operation or egress fees.
• Edge AI & Intelligent Operations — GPU compute at the edge only delivers when the data is there withit. Model artifacts and telemetry siloed in central cloud or core data centers bottleneck inference.AIStor's ~200MB binary deploys at the edge alongside GPU infrastructure. Native on NVIDIA STX, insidethe context memory layer, AIStor eliminates network round-trips. The GPU never waits for data. A singleS3 API spans edge, core, and cloud.
• Security & Cryptographic Resilience — Zero trust mandates and post-quantum planning requirestorage that enforces strict access controls, immutability, and modern encryption across distributedenvironments. AIStor delivers IAM-based access policies, AES-256 encryption at rest, transport layersecurity (TLS), write-once-read-many/immutable object locking, and comprehensive audit logging, allaligned to zero trust principles.
• Context-Aware Networks & Differentiated Services — Real-time quality of service (QoS) APIs, ZeroTouch Onboarding, and NaaS platforms generate structured and unstructured analytics data acrossmulti-operator environments. AIStor's multi-tenancy and S3-compatible API make it a natural data tierfor multi-operator platforms. Iceberg tables unify real-time and historical analytics.

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AIStor in the Cable Network Architecture

• Single S3-compatible API across all deployment tiers.
• ~200MB binary deploys in power- and space-constrained edge environments with no dedicated 
storage server.
• Native Apache Iceberg tables and Delta Sharing are queryable with any engine, no proprietarydatabase lock-in.
• Kubernetes-native orchestration that scales with your container platform. Bare metal deployment 
is also supported.
• Built-in data governance with IAM, audit logging, object locking, and versioning from ingestion toinference.

https://www.min.io/product/aistor