Vidaio (SN85) Saved 50% Storage Costs by Leaving AWS for Hippius (SN75)

Vidaio (SN85) migrated its entire storage layer from Amazon S3 to Hippius (SN75), roughly halving what the same operation used to cost.

The switch required no changes to upload logic, processing flow, or download handling because Hippius offers S3-compatible object storage.

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What made the economics work was killing the egress fees that punish workloads moving data in and out repeatedly across every job.

Why S3 Was Bleeding Vidaio

Video processing at scale hits AWS pricing exactly where it hurts, since Vidaio’s pipeline moves large files constantly rather than storing them passively.

1. Every job requires two full data movements: A user uploads a video, the file gets handed off to a distributed miner network, and the finished result returns to storage for download.

2. AWS charges for every byte leaving the network: Egress fees stack on top of storage costs, meaning heavier usage produces disproportionately larger monthly invoices over time.

3. Video file sizes multiply the impact directly: Even a modest processing volume translates into terabytes moving daily, which turns egress into the dominant line item.

4. Flat monthly plans do not scale down: AWS pricing is committed capacity instead of actual usage, penalising periods of lower demand along with peak weeks.

For any workload defined by high read-write frequency, the AWS bill grows faster than the underlying business does.

How Hippius Solved It

Migrating storage providers usually costs weeks of engineering time, unless the destination speaks the same protocol as the origin.

1. S3-compatible API meant no rewrite required: Vidaio pointed its existing upload, processing, and download logic at a new address without changing anything downstream of storage.

2. Zero egress fees regardless of transfer volume: Moving data out of Hippius costs nothing, which reshapes the economics for pipelines reading the same files repeatedly.

3. Usage-based billing with no long-term contract: Vidaio pays for what gets stored and can scale up or down freely as processing volume evolves weekly.

4. Data lives on Arion, Hippius’s own storage engine: Files spread across an independent network of nodes that automatically self-heals if any single machine drops offline mid-job.

5. Every storage claim gets recorded on Hippius’s blockchain: Vidaio can independently verify what they paid for at Hipstats without having to trust the provider’s dashboard.

How the Pipeline Runs Today

Hippius sits at both ends of Vidaio’s video processing workflow, handling the storage layer for every job that passes through the system.

1. User uploads drops in a Hippius bucket first: The initial video file gets stored with the same S3-compatible interface Vidaio’s engineering already knew.

2. Vidaio shares the storage link with its miner network: Miners pull the file, process the enhancement, and return their finished segments back to Vidaio.

3. Processed segments get combined and uploaded back to Hippius: The final output sits in the same bucket structure until the user retrieves it.

4. Encryption at rest matches mainstream cloud storage standards: Every file backing the pipeline stays protected under the same security model AWS and similar providers use.

5. Vidaio kept AWS and Backblaze as redundancy providers: Hippius pricing makes multi-provider backup affordable, not a luxury reserved for enterprises with unlimited storage budgets.

A Working Enterprise Customer for a Bittensor Subnet

Vidaio publishing a 50% cost reduction with hard numbers gives Hippius the specific proof point that unlocks conversations with every video platform, streaming service, or AI training company currently paying full AWS egress fees today.

The migration required no engineering work beyond a configuration change, which removes the most common objection to leaving hyperscaler infrastructure.

Anyone running a data-heavy workload on AWS right now has one more reason to check what a similar switch would cost their business.