Storj —
Globally Distributed S3-Compatible Object Storage, GPUs on Demand & AI Inference

Storj fits buyers whose object-storage workload is large, cold-to-warm, geographically distributed, or AI/inference-adjacent — and who want a globally distributed S3-compatible object-storage backend rather than concentrating storage in one hyperscaler region. Strongest fit is media, life sciences, AI/ML, video, and backup/archive operating models that need durable cloud object storage with predictable economics across very large data volumes.

Storj delivers cloud object storage (S3-compatible, globally distributed), GPUs on Demand for AI/ML workloads, an offsite backup target for backup/archive use cases, AI inference data storage tied to GPU-on-demand workloads, and global data sharing across geographies. The structural difference is object storage built on a globally distributed network rather than concentrated in one hyperscaler region.

Hyperscaler S3 (AWS S3, Azure Blob, Google Cloud Storage) concentrates data in one provider's regions with hyperscaler-dictated egress economics and per-region durability boundaries. Storj is S3-compatible object storage on a globally distributed network — fitting buyers whose workloads benefit from geographic distribution, predictable economics across very large data volumes, and S3-compatible API tooling rather than full hyperscaler lock-in for storage that doesn't need to live next to compute.

GPUs on Demand provides ephemeral GPU capacity for training and inference workloads — fitting buyers whose AI/ML pipelines need elastic GPU access without long-term commitment to a hyperscaler GPU SKU. AI Inference data storage pairs that GPU layer with object storage purpose-tuned for inference data — fitting AI/ML operating models that want both layers under one operator rather than aggregating GPU compute and object storage across separate providers.

Offsite backup target is one of the cleanest object-storage use cases — large volumes, write-once-read-rarely access patterns, retention-period economics, geographic-distribution requirements for compliance. Storj's globally distributed S3-compatible network fits buyers whose backup/archive volumes are large enough that hyperscaler-region cold-storage economics become the bottleneck, and who want offsite backup geographically distributed by architecture rather than configured per-region.

No. Your service agreement is signed directly with Storj and Storj's standard customer terms apply. Fibi's role is to scope your object-storage / backup target / AI data-storage objective against Storj and the most relevant alternatives — including hyperscaler object storage (AWS S3, Azure Blob, GCS), regional S3-compatible providers, and pure-play backup-target services — so you see how Storj's globally distributed S3-compatible posture compares before signing. Fibi's advisory work is provider-funded.