One control plane for infrastructure AI.
On-prem precision, cloud scale. Your choice, per workload.
AI Management is one console that runs intelligence wherever each workload belongs, on-prem for the sensitive, in the cloud for scale, turning raw telemetry into decisions.
- Anomaly detection
- Forecasting
- Root-cause
- Deploy anywhere
- One console
The problem
Drowning in event noise.
Operations teams face alarm streams from power, cooling, IT, environment, network and safety, each with its own thresholds, vendors and false-positive rates. Six dashboards, no single judgement.
- Every layer has its own thresholds and its own noise
- Real problems hide behind a wall of false positives
- No one view that turns events into a decision
Six streams, six dashboards
On-prem precision, cloud scale
Run each workload where it belongs.
One management plane governs both deployment modes, deploy, monitor and tune every AI workload on-prem or in the cloud, from a single console.
AI Management
One control plane
On-prem
Sovereign & air-gapped
Data stays on-site, sub-second, single-tenant.
On-cloud
Fleet scale & GPU
Cross-site models, managed GPU, region residency.
Run each workload where it belongs · illustrative
What this helps you do: govern every model from one console, and decide per workload whether it runs in your facility or in the cloud. Sample data shown.
One plane, two deployment modes
Choose the model, not a compromise.
Intelligence on every signal
Telemetry into decisions, not just charts.
The same models that watch a single rack scale to a whole estate, on-prem or in the cloud.
Anomaly detection
Spots drift and outliers across thousands of parameters before they become incidents.
Forecasting
Predicts capacity, load and failure windows from historical trends.
Root-cause analysis
Correlates signals across layers to point at the likely cause, not just the symptom.
Natural-language queries
Ask in plain language and get a grounded reply, through the AI Companion.
Automated reporting
Generates operational and compliance reports on schedule, no manual assembly.
Continuous learning
Models adapt to your environment's normal, accuracy improves the longer they run.
From signal to action
Raw signal to recommended action.
Every metric runs the same path, and you decide whether each step executes on-prem or in the cloud.
1. Ingest
Live metrics stream in from sensors, gateways and the monitoring layer.
2. Detect
AI models flag anomalies, drift and emerging risk in real time.
3. Explain
Each finding arrives with context and likely root cause, not just a flag.
4. Act
Recommended actions route to the right team, executed on-prem or in the cloud.
Part of the platform
The intelligence layer of ProDCIM.
AI Management governs the models; the rest of the platform feeds and acts on them.
Put your telemetry to work
Book a walkthrough and we'll show AI Management governing models on-prem and in the cloud.