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AI Architecture › L0 · Foundation
L0 · Foundation

Storage Array Architecture

The parallel storage systems that hold petabyte pulse histories and feed high-bandwidth reads to Monte Carlo and training jobs.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L0 · FOUNDATIONThe offline compute substrate — multi-physics & batch training.1Cloud HPCelastic burst2Bare-Metal ClusterGPU / CPU3Supercomputingmulti-physics runs4Batch Trainingmodel builds5Simulation FarmGrad-Shafranov · MHD6Object StorecheckpointsMACHINE TIETrains the models that ship UP to L3 — no real-time path to the machine.KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORFOUNDATIONSHEET 02REV. 2026-08L0 · AI-NATIVE STACK
L0 · Foundation — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

Storage as a compute resource

At L0 scale, storage is not passive; it is a performance resource. Monte Carlo campaigns write large tallies, training jobs stream shards continuously, and refinement studies replay old pulses at speed. The storage array architecture is designed for parallel high-bandwidth access, because a starved storage system throttles the compute it feeds.

Parallel and tiered

The archive uses a parallel file system striping data across many devices so that many nodes can read and write concurrently at aggregate bandwidth no single device could reach. Fast NVMe scratch sits close to compute for active jobs, while the bulk archive holds the full petabyte history on higher-capacity media, connected by the escalation and staging logic.

Matching storage to workload

Different L0 workloads stress storage differently. Monte Carlo is write-heavy at the end of each batch; training is read-heavy and streaming; replay is random-access into the archive. The architecture provides staging so that the data a job needs is moved to fast media before the job runs, keeping expensive compute from waiting on slow reads.

Integrity is built in. Data is checksummed and redundantly stored, so a device failure never corrupts a pulse record or a certified simulation result. Given that the archive is the ground truth for all retraining, silent corruption would be worse than loss; the architecture is designed to detect and repair it.

One storage foundation serves both machines and all workload classes. Breeder neutronics tallies, burner stability scans, and twin residual logs all live in the same tiered, parallel, integrity-checked system, staged to fast media on demand. Storage is the quiet substrate beneath every other L0 capability.

Content reviewed August 2026 · design-and-simulation stage