Major cloud providers — AWS, Microsoft Azure, Google Cloud — are investing heavily in AI infrastructure, and their scale, hardware purchasing power, and global reach create genuine cost and performance advantages. TNE.ai is designed to work with these providers, not around them. Orion runs on your preferred cloud infrastructure while adding the model independence and governance layer that hyperscaler-native AI tools do not provide: the ability to run any model, switch providers freely, and keep your data within boundaries you control.
The structural risk with hyperscaler AI is concentration: over time, your data, your models, and your workflows become dependent on one provider’s platform decisions. Orion’s model-agnostic routing lets you run workloads on AWS one day and Azure the next based on cost and performance, without rebuilding. Orion Meta AI Framework’s open-source foundation means your infrastructure layer is auditable and never captive to a cloud vendor’s roadmap. And for workloads where cloud costs are high or data residency matters, Orion routes to on-premise or private cloud infrastructure using the same governance and monitoring layer.
- Cloud-agnostic deployment — Orion runs on AWS, Azure, Google Cloud, or on-premise infrastructure; switch or combine providers without rebuilding
- Sovereign data control — route sensitive workloads to on-premise or private cloud environments while using public cloud for lower-sensitivity tasks
- Cost optimization across providers — Orion selects the cheapest infrastructure that meets your latency and quality requirements at any given moment
- Open-source foundation — Orion Meta AI Framework is auditable and forkable; the infrastructure layer is never captive to a cloud vendor’s decisions
- Governance layer above hyperscaler AI — Orion Governance adds five-layer verification on top of any hyperscaler model, including managed APIs