Storage that keeps up with the GPUs.

Object, file and local NVMe tiers - one data fabric, inside the Kingdom.

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OBJECT capacity tier - datasets and checkpoints

FILE shared filesystems for training jobs

LOCAL NVME scratch speed next to the GPU

GPU Row

Three Tiers - One Data Path to the GPU

A lake for everything you train on.

Durable object storage for datasets, checkpoints and model artifacts - the capacity floor of the fabric.

Object Tier - Capacity Layer

One namespace, every node.

Shared filesystems mount across the whole cluster, so every job sees the same data at the same paths.

File Tier - Shared Namespace

Scratch that feeds the card.

Local NVMe sits next to the GPU for staging, shuffling and checkpoint bursts.

Local NVMe - Scratch Next to the GPU

Every stage lands closer to the card.

Data Path - Ingest to Accelerator

Where the data goes next.

Related 01

GPU Cloud

The accelerators the fabric feeds.

Explore GPU Cloud → Related 02

Run & Scale

Schedulers and serving on top of the same data path.

Explore Run & Scale → Related 03

Sovereign Cloud

A perimeter your data never has to leave.

Explore Sovereign Cloud →

Size your data fabric.

Tell us what you train and where it lives - we will shape the tiers around it.

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