FAQ
Objections answered: durability, throughput, pricing, lock-in.
Objections, answered.
Is this actually S3-compatible?
Yes — shipping today, not roadmap. Ramo exposes an S3-compatible API: the AWS CLI, boto3, rclone, and standard S3 SDKs work by pointing --endpoint-url (or the SDK equivalent) at https://s3.ramo.io. Existing tooling works day one.
How can reads be free?
Ramo owns the fiber end to end, so a read costs approximately nothing at the margin — there is no transit bill to pass through. Hyperscalers resell transit and meter it at $87–90 per TB. This is the same zero-egress economics that worked for the web's small objects, extended to the world's datasets.
Is “free” capped, like Wasabi or Backblaze B2?
No. Reads are uncapped and bounded by your connection, not a meter. For comparison: Wasabi's free egress carries a fair-use cap — reads above your stored volume can limit or suspend service — and B2 is free up to 3× stored data, then $0.01/GB. Ramo has no read cap.
What throughput do you actually deliver?
100 Gbps sustained in production, measured during customer onboarding. At that rate 100 PB lands in 93 days. S3's best-effort ~100 Gbps works out to the same 93 days on paper, so read this as a consistency claim rather than a speed claim: best-effort rates vary run to run, and ours is the rate we hold. Azure's ~25 Gbps default account ingress cap stretches the same job to 370 days.
Where does my data live?
Two US regions today, SMF (US-West) and IAD (US-East), joined by a private trunk on fiber we own. Expansion is pod-based: Ramo pods fit a standard colocation footprint and plug into existing PoPs and carrier hotels, so new regions need rack space, power, and trunk ports, not a greenfield buildout.
How durable is it?
Eleven nines (99.999999999%) durability, erasure-coded. Storage runs on bare metal Ramo owns and operates — no hypervisor, no shared fabric.
Who uses it today?
More than 100 PB is in production. Our customer stores petabyte datasets on Ramo and sells access to frontier AI labs; Black Forest Labs reads that corpus straight off the backbone into whichever cloud its GPUs are in.
What is Ramo not built for?
Small hot objects at the edge. Edge stores like R2 are cache-optimized for KB–MB web objects served globally; discount tiers like Wasabi and B2 are built for backup and archive. Ramo's design center is TB–PB corpora read sequentially at line rate — feeding training runs, not serving thumbnails.
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