Edge compute.
Run models and logic at the edge — low latency, intermittent connectivity, local autonomy.
Push compute and models to the edge, near the data and the action — for low latency, autonomy under intermittent connectivity, and data residency where it can't leave the site.
- Category
- Edge & IoT
- Deployment
- Managed → air-gapped
- Governance
- IAM · encryption · audit
Three steps to running.
Push models and logic near the data from one control plane.
Operate offline-tolerant; sync when connectivity returns.
Process on-site; send only what's needed upstream.
Edge compute, in full.
Run distilled models at the edge with cloud fallback.
Keep operating and sync when connectivity returns.
Deploy and update edge workloads from one control plane.
Process sensitive data on-site, send only what's needed.
Provision it in a few lines.
Every service is reachable from the same SDK, CLI and infrastructure-as-code — one identity, one bill, one audit trail across the whole catalog.
# Provision edge compute on Aether Cloud
aether edge-iot create \
--service edge-compute \
--name app \
--region us-1 \
--deploy managed # or vpc | on-prem | air-gappedAt a glance.
- Inference
- Local, distilled models
- Connectivity
- Offline-tolerant
- Management
- Central control plane
- Residency
- Process on-site
- Sync
- On reconnect
Built for real work.
Low-latency control loops
On-site robotics and vision
Residency-constrained processing
On one model, not stitched together.
The usual stack runs edge compute in one product, the model in another and the data in a third — and the seams between them are the cost. Aether Cloud runs it on the same platform that serves the model, governs your identity and deploys into your boundary, with the rest of the catalog one hop away.
No stitching a vector DB to one place, a warehouse to another and a model to a third — edge compute sits next to the rest of the catalog, one identity, one bill.
The provider that runs Aether runs your edge compute — so the data and the model never leave the same governed boundary to talk to each other.
Need a capability that isn’t here yet? The model writes and deploys it into the same boundary — the catalog is a starting point, not a ceiling.
Good to know.
Edge compute and inference — running distilled Aether models near the data, managed centrally.
Yes — offline-tolerant, syncing when connectivity returns.
On-site by default; only what's needed is sent upstream.
Your boundary, your choice.
Run Edge compute on Aether Cloud.
Run models and logic at the edge — low latency, intermittent connectivity, local autonomy. Deployable managed, in your VPC, on-prem or fully air-gapped — talk to us about the configuration your workloads and your boundary require.