Petabyte-scale cloud-neutral data infrastructure
Storing large datasets with a single cloud provider limits flexibility and inflates costs
Traditional storage solutions struggle with the speed required for large-scale data training
Regional compute capacities from individual cloud providers fall short for large-volume data training, causing latency and bottlenecks

Ramo breaks vendor lock-in with high-speed, multi-cloud data retrieval โ optimizing compute for performance or cost.
retrieval speed
Retrieve from any provider, no lock-in
Allocate optimal resources across clouds
~100 Gbps
~10 Gbps
$23.00
$6.99
$0.09/GB
Free*
11 nines
11 nines* Wasabi charges egress above monthly storage amount
What does it actually cost to store and access 100 petabytes across providers?
How fast can you load 100 PB?
What does it cost to move data out?
What are the ongoing monthly costs?
| Provider | Speed | Guarantee | Time to Ingest |
|---|---|---|---|
![]() | 100 Gbps | Best effort | ~92.6 days |
![]() | ~10 Gbps | Best effort | ~2.5 years |
| 400 Gbps | SLA-backed | ~23.1 days |
Ramo: 4x faster than AWS, 40x faster than Wasabi
$9MEgress cost
$0*Egress costMoving 100 PB off AWS costs $9,000,000. With Ramo, egress is always free.
* Wasabi egress is free when monthly egress does not exceed stored volume
| Provider | Rate / TB / mo | Monthly | Annual |
|---|---|---|---|
![]() | $23.00 | $2.3M | $27.6M |
![]() | $6.99 | $699,000 | $8.4M |
| $3.99 | $399,000 | $4.8M |
Ramo saves $1.9M/month vs AWS โ $22.8M/year
$36.6MFirst-year total
$8.4MFirst-year total$31.8M
saved annually with Ramo vs AWS
Non-recurring
Recurring
Year-end goal
ramo.io
hi@ramo.io
telegram: vvkio