EcoTensor AIEcoTensor AIDecision Intelligence
How it worksWhy EcoTensorDemo scenarioArchitecture
AI infrastructure decision intelligence

Run smarter GPUs.
Explain every decision.

EcoTensor AI converts GPU telemetry, thermal conditions, workload urgency, and operating policy into transparent, deadline-safe infrastructure recommendations.

Synthetic live telemetryHuman approvalExplainable EcoScore

Live recommendation

NovaCart flash-sale inference

Placement safe
88
EcoScore
Excellent

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

Sense → Score → Decide → ExplainOperator approval required

4

GPU risk dimensions

3

Operating modes

0–100

Explainable EcoScore

2s

Telemetry refresh

Decision workflow

From raw telemetry to a defensible action.

Monitoring tells you what is happening. EcoTensor AI tells you what the operator should consider doing—and why.

01

Sense

Read temperature, utilization, power, idle time, and workload urgency.

02

Score

Calculate risk and a transparent 0–100 EcoScore for every placement.

03

Decide

Select the safest eligible GPU and operating action.

04

Explain

Show the operator exactly why the recommendation is safe.

The product difference

Not another basic GPU scheduler.

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.

Deadline-safe sustainability

Energy saving never overrides urgent workload, thermal, or deadline protection.

Multi-factor EcoScore

A single explainable score connects efficiency, capacity, temperature, and risk.

Human-in-the-loop control

Operators approve, reject, or escalate every recommendation before action.

Before-versus-after impact

Translate decisions into simulated power, energy, cost, and thermal outcomes.

Hackathon demo

NovaCart flash sale

GPU-178°C85%High thermal risk
GPU-248°C20%Safe
GPU-335°C0%Best placement
GPU-465°C70%Moderate

Judge-ready story

Protect the deadline. Avoid the hotspot.

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.

Strict workload and deadline risk block any delay.
GPU-3 provides the strongest thermally safe EcoScore.
The explanation separates placement safety from optimization permission.
Run the NovaCart decision

System architecture

A clean adapter over the existing decision engine.

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

EcoTensor AI mark

Turn infrastructure telemetry into a decision judges remember.

Explore the complete operator journey—from live cluster state to recommendation, human approval, impact, and audit history.

EcoTensor AIEcoTensor AIDecision Intelligence

Team Neural Nomads · Daffodil International University · Simulation prototype