Object Storage
S3-compatible object storage for model artefacts, dataset lakes and MLOps pipelines across our GPU platform.
Overview
Hot, cool and archive tiers under a single S3 API. Used by AI Token Foundry to store token routing metadata, by Managed Slurm for dataset lake staging, and by Kubernetes Service for inference model artefact registries. Move data between tiers with lifecycle rules — no re-ingestion required.
Performance
- Hot tier latency
- <10 ms first byte
- Hot tier throughput
- Multi-GB/s per prefix
- Durability
- 99.999999999% (11 nines)
- Max object size
- 5 TB
Capabilities
S3 compatible — drop-in for any SDK
Works with boto3, MinIO client, and any S3 SDK. Multipart upload, presigned URLs and event streams all supported — TKS pods and Slurm jobs access it natively.
MLOps streaming for training pipelines
Used by Managed Slurm to stream training datasets from the object store to GPU nodes, and by Kubernetes Service for model artefact registries served to KServe inference endpoints.
Integrated with AI Token Foundry
Token routing logs, API usage billing data and model call distribution metrics from the Token Foundry platform are stored as S3 objects with lifecycle tiering.
Strong consistency for checkpoint writes
Read-after-write consistency across all regions — Slurm checkpoint writes from Bare Metal MI350X or H200 nodes are immediately visible to downstream jobs.
Pricing
Ideal for
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Talk to our team about a custom GPU cluster, managed Slurm or one of our vertical AI solutions.