
Global data sharing across geographies on the same distributed network — fitting buyers whose data has multi-region access patterns (collaborators, partners, edge consumers) and who want geographic distribution as the architectural default rather than configured via cross-region replication tooling.
Fibi sources Storj Global Data Sharing at no cost to you. Our advisory is funded by the carrier.
We compare Storj against 300+ carriers so you know you're getting the best solution for your needs.
Dedicated advisor for the life of your contract — Fibi escalates issues on your behalf so you're never dealing with carrier support alone.
More from Storj
Globally distributed S3-compatible cloud object storage — fitting buyers whose object-storage workload is large, geographically distributed, or where hyperscaler-region concentration and egress economics become the bottleneck. Drop-in S3 API compatibility means existing S3 tooling, SDKs, and lifecycle policies port over directly.
Ephemeral GPU capacity for AI/ML training and inference workloads — fitting buyers whose AI/ML pipelines need elastic GPU access without long-term commitment to hyperscaler GPU SKUs. Useful for buyers running training bursts, inference scale-out, or fine-tuning workloads with variable GPU demand.
Globally distributed offsite backup target for backup/archive workloads — fitting buyers whose backup 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.
Object storage purpose-tuned for AI inference data alongside GPUs on Demand — fitting AI/ML operating models that want both inference compute and inference data storage under one operator rather than aggregating GPU compute and object storage across separate hyperscalers and regions.