Managed data transport for autonomous training
Autonomous machines generate enormous volumes of training data at remote sites, all of it bound for a small number of known destinations. OSI moves that data as one engineered system: site edge, dedicated transport, a private network, an engineered aggregation core, and private interconnection to your cloud and GPU environments, under a single SLA with one accountable operator.
The problem
Each autonomous machine generates on the order of one terabyte per hour of operation. A dense site can approach one hundred thirty gigabits per second at full concurrency, and the governing constraint is not circuit speed: it is the maximum permissible age of data at the training destination. Moving one high-density shift of data requires roughly 131 Gbps in an eight-hour window, 87 Gbps in twelve, or 44 Gbps in twenty-four, before overhead, headroom, and recovery.
Illustrative planning values; each site's capacity tier is set from measured behavior in its Site Deployment Plan.
Why ordinary internet does not work here
A dedicated internet port guarantees the loop, not the journey: beyond the provider's edge, delivery depends on shared interconnection nobody in your program controls. Bulk throughput collapses non-linearly with loss on long paths, precisely at peak.
No carrier warrants the internet path to your cloud or GPU provider. When ingest slows, fault isolation across three to five networks becomes your problem.
Every internet circuit is a public attachment and a hardened edge stack to patch and audit at every site, indefinitely. The private design carries no public edge on the customer path at any site.
Every added site sends its data to the same destinations, so internet paths fan the whole fleet into the same unowned choke points, and all sites degrade together at peak.
Internet architecture: convergence occurs wherever third-party networks happen to meet. OSI architecture: convergence occurs where you have contracted it to occur.
What arrives late is not packets. It is GPU schedules and program timelines.
It also lowers your cloud bill
Training reads datasets back out of cloud storage again and again. Over the public internet the cloud provider bills its internet rate. Over the private path it bills roughly a quarter of that. The difference lands on your own cloud invoice, every month, and OSI never touches it.
See the numbersCloud transfer rates shown are published list prices.
