Your First Inference
After install, run one end-to-end loop: seed a model → enable a datasource → see predictions. This is the quickest way to confirm the runtime is working.
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Sign in
Section titled “Sign in”Open the dashboard URL printed during install and sign in with your admin account.
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Upload a model
Section titled “Upload a model”Go to Models and upload your ONNX model. Note its window size and feature count — they must match the datasource you pair it with.
See Deploying Models for formats and versioning.
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Add an input datasource
Section titled “Add an input datasource”Go to Datasources → Input and add a source — for example an MQTT topic or an OPC-UA endpoint. Map each sensor tag to a model input channel, and set the window size to match the model.
See Connecting Input Datasources for the full per-protocol walkthrough.
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Pair the model with the datasource
Section titled “Pair the model with the datasource”On the datasource, pair the model you uploaded. The platform runs a compatibility check —
window size × feature countmust agree on both sides. If it fails, adjust the datasource window size or regenerate the model. -
Enable, then start streaming
Section titled “Enable, then start streaming”Toggle Enable on the datasource row. Enabling validates the configuration, loads the paired model, and connects the adapter — but it does not start streaming yet. Click Start to begin inference.
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Watch predictions
Section titled “Watch predictions”Open the Dashboard. Within about 20 seconds (once the first window of samples arrives) the predictions card updates in real time, and the sensor cards show live readings.
Inspect results
Section titled “Inspect results”The monitoring view shows latency (p50 / p95 / p99), throughput, error rate, and the active execution provider. See Monitoring to read the KPIs.
If something goes wrong
Section titled “If something goes wrong”- Pairing rejected, datasource won’t enable, or no predictions appear — see the Troubleshooting runbook.