S3-compatible · 100 PB already in use

Stop paying to read your own data.

Ramo is S3-compatible object storage on metal and fiber it owns. $5.00per TB/month flat. $0 egress — we don't charge to read data out. 100 Gbps sustained in production. Your tooling works day one.

1 GB free trial · one call · keys in seconds · no form

Moving petabytes?

store — ingest at 100 Gbps sustained

$ aws s3 cp 00417.tar s3://training-corpus/ \
      --endpoint-url https://s3.ramo.io

read back — $0.00 · any cloud

$ aws s3 cp s3://training-corpus/00417.tar . \
      --endpoint-url https://s3.ramo.io

store — ingest at 100 Gbps sustained

# ramo = S3 remote at endpoint s3.ramo.io
$ rclone copy ./corpus ramo:training-corpus --transfers 64

read back — $0.00 · any cloud

$ rclone copy ramo:training-corpus ./corpus --progress

store — ingest at 100 Gbps sustained

import boto3
s3 = boto3.client("s3", endpoint_url="https://s3.ramo.io")
s3.upload_file("00417.tar", "training-corpus", "00417.tar")

read back — $0.00 · any cloud

import boto3
s3 = boto3.client("s3", endpoint_url="https://s3.ramo.io")
s3.download_file("training-corpus", "00417.tar", "00417.tar")

store once · read anywhere — same tooling, new endpoint: https://s3.ramo.io

Storage: $5.00; per TB / month, flat
Egress: $0.00; we don't charge to read data out
Throughput: 100 Gbps; sustained in production
In production: 128 PB raw; 100 PB usable · 2 US regions

In production today: 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.

From a terminal

The pill above copies a prompt any agent can run, cloud or CLI. The one-liner here skips the agent and creates a trial directly; both paths end in the same bucket.

or from a terminal, no agent

$ curl -fsSL https://ramo.io/ramo.sh | sh -s -- signup