The cable industry is entering the Experience Era, and most of the data driving it is not AI-ready. Telemetry, training data, and operational context are siloed across systems, trapped in proprietary formats, and disconnected from the compute that needs them. This solution brief outlines how MinIO AIStor addresses five cable-specific initiative areas. For Network Intelligence and AIOps, AIStor delivers the throughput GPU clusters demand with native AI pipeline support, model checkpoints, embedding stores, and RAG retrieval — enabling ML models trained on complete PNM datasets rather than sampled fragments. For Subscriber Experience Analytics, AIStor's native Apache Iceberg integration creates a high-performance data lakehouse for correlating Wi-Fi telemetry, CPE diagnostics, QoE data, and support records at scale with any query engine and no egress fees. For Edge AI, AIStor's ~200MB binary deploys alongside GPU infrastructure at the edge, native on NVIDIA STX, eliminating network round-trips so GPUs never wait for data. For Security and Cryptographic Resilience, AIStor delivers IAM-based access policies, AES-256 encryption, TLS, WORM object locking, and audit logging aligned to zero trust principles. For Context-Aware Networks, AIStor's multi-tenancy and S3-compatible API serve as the natural data tier for multi-operator NaaS platforms, with Iceberg tables unifying real-time and historical analytics. AIStor is benchmarked at 19.2 TiB/s throughput at exabyte scale and delivers greater than 40% lower TCO at scale.
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AIStor's ~200MB binary deploys natively at the edge alongside GPU infrastructure on NVIDIA STX, eliminating network round-trips and ensuring the GPU never waits for data across edge, core, and cloud tiers via a single S3 API.
Native Apache Iceberg integration and Delta Sharing enable a high-performance cable data lakehouse queryable by any engine with no per-operation fees, no egress costs, and no proprietary database lock-in.
AIStor delivers IAM-based access policies, AES-256 encryption, WORM object locking, and comprehensive audit logging fully aligned to zero trust principles and post-quantum security planning requirements.
Cable network operators and MSO technology leaders responsible for AI-driven network operations, subscriber experience analytics, edge compute deployments, and zero-trust data security across distributed cable infrastructure.
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