The cluster knows the building.
Workloads routed against real-time power, cooling, and thermal density from the physical facility.
Most schedulers see GPUs. Amalgamy sees the building. Real-time telemetry from transformers, liquid cooling loops, and power distribution feeds every scheduling decision. Workloads are placed where the facility has headroom, not just where a GPU is free. The result: maximum useful output per watt and per gallon, with sustainability built into every placement, not reported after the fact.
The outcome
Scheduling against physics, not just inventory.
A traditional scheduler sees available GPU slots and fills them. It does not know that Row 4 is running hot, that the cooling loop on Zone B is at 92% capacity, or that the substation feeding Rack 12 is approaching its load ceiling. The result: allocated-but-throttled hardware, thermal shutdowns, and efficiency numbers that look good on a dashboard but do not reflect real throughput.
Amalgamy ingests facility telemetry in real time and treats power, cooling, and thermal density as scheduling constraints alongside GPU availability. The operator gets true utilization, not allocation theater.
What it delivers
Every watt does math.
Real-time telemetry, not static specs.
Amalgamy ingests live data from transformers, liquid cooling loops, and power distribution. Scheduling decisions reflect what the building can sustain right now.
Power-compute alignment.
Workloads are placed in the zones where power and cooling headroom exist. No overloading a row because the scheduler only sees GPU availability.
Thermal-density routing.
The platform calculates real-time thermal density per rack, per row, per zone. High-density workloads go where the cooling can handle them.
Build-phase data tunes operations.
Data captured during facility construction (through the Blueprint) is used to calibrate the operational environment. The software and the building are co-designed.
Sustainability is structural.
Efficiency is not a quarterly report. It is how the scheduler makes every placement decision, using the building as a live constraint.
Maximum useful output per watt.
The operator extracts the most computational work from every kilowatt. Idle compute is wasted water, power, and land.
The building is part of the cluster.
Technical docs at amalgamy.ai. Engagement and capacity planning at ThisWayGlobal.