EcoTensor AI converts GPU telemetry, thermal conditions, workload urgency, and operating policy into transparent, deadline-safe infrastructure recommendations.
Live recommendation
NovaCart flash-sale inference
Recommended action
Run now on GPU-3
Deadline and workload risk are unsafe for delay. GPU-3 is the strongest thermally safe placement.
Thermal
Low
Deadline
High
Workload
Critical
Energy waste
High
4
GPU risk dimensions
3
Operating modes
0–100
Explainable EcoScore
2s
Telemetry refresh
Decision workflow
Monitoring tells you what is happening. EcoTensor AI tells you what the operator should consider doing—and why.
Read temperature, utilization, power, idle time, and workload urgency.
Calculate risk and a transparent 0–100 EcoScore for every placement.
Select the safest eligible GPU and operating action.
Show the operator exactly why the recommendation is safe.
The product difference
EcoTensor AI acts as a transparent infrastructure assistant. It balances performance, efficiency, thermal safety, and workload risk while keeping the operator in control.
Core safety principle
Energy optimization is allowed only when deadline, workload, and thermal risks remain inside safe boundaries.
Energy saving never overrides urgent workload, thermal, or deadline protection.
A single explainable score connects efficiency, capacity, temperature, and risk.
Operators approve, reject, or escalate every recommendation before action.
Translate decisions into simulated power, energy, cost, and thermal outcomes.
Judge-ready story
A real-time NovaCart inference job has five minutes to finish. A naive decision sends it to an already busy inference GPU. EcoTensor AI compares every placement, excludes unsafe thermal choices, and selects GPU-3.
System architecture
The new Next.js interface and FastAPI adapter do not replace the existing Python logic. They expose it safely to a modern browser experience.
Telemetry
Risk + EcoScore
Decision Engine
FastAPI
Next.js Console