Real-Time Sensor Dashboard
This demo simulates what Mālama dMRV sensor integration looks like inside a data center. Every reading is blockchain-verified, creating trusted, objective environmental data that enables dynamic optimization.
Power Consumption
Real-time facility power draw (kW)
Temperature & Water
Ambient temp (°C) and cooling water flow (L/min)
Facility Zones
Real-time monitoring across 6 data center zones
Blockchain Verification
Cardano mainnet — immutable audit trail
Efficiency Scores
AI-computed optimization ratings
Shifting 18% of inference workloads from Zone C2 to Zone A2 during off-peak hours could reduce total facility power by ~14 kW and lower PUE from 1.12 to 1.08.
24-Hour Distribution
Power consumption and water usage by hour
Cumulative Savings from Sensor-Driven Optimization
Simulated YTDHow Mālama dMRV Works
Deploy Sensors
IoT sensors installed at rack, row, and facility level measure power, temperature, humidity, water flow, and air quality in real time.
Verify on Blockchain
Every reading is cryptographically signed and recorded to Cardano mainnet, creating a tamper-proof, immutable audit trail.
AI Analysis
Machine learning models analyze sensor data to identify inefficiencies, predict failures, and recommend real-time optimizations.
Dynamic Optimization
Automated workload shifting, cooling adjustments, and resource allocation based on verified sensor data — reducing impact dynamically.
Move Beyond Estimates.
Measure What Matters.
Current AI energy reporting relies on software estimates, rules of thumb, and self-reported data. Mālama dMRV sensors provide hardware-verified, blockchain-anchored measurements that create a trusted foundation for environmental accountability and dynamic optimization.
This is a simulated demonstration of Mālama dMRV sensor capabilities. All sensor readings, blockchain hashes, and optimization metrics shown are generated for illustrative purposes. Actual deployment metrics will vary by facility.