Grid-Aware Compute Orchestration for AI Data Centers

Grid-Aware Compute Orchestration for AI Data Centers

Grid-Aware Compute Orchestration for AI Data Centers

AIMI transforms AI workloads into flexible demand: Coordinating throttling, time shifting, and workload relocation in real-time across power, cooling, and compute.

AIMI transforms AI workloads into flexible demand: Coordinating throttling, time shifting, and workload relocation in real-time across power, cooling, and compute.

AIMI transforms AI workloads into flexible demand: Coordinating throttling, time shifting, and workload relocation in real-time across power, cooling, and compute.

Schedule a Demo

Automating HVAC in data centers
Automating HVAC in data centers
Automating HVAC in data centers

Compute Flexibility in Practice

Compute Flexibility in Practice

Compute Flexibility in Practice

As discussed in our recent article on compute flexibility, AI workloads no longer behave like fixed demand. Training jobs ramp unpredictably, power availability varies by time and location, and cooling constraints increasingly define when compute can run.

AIMI Compute Orchestrator converts these constraints into controllable variables by coordinating compute, power, and cooling as a unified system, enabling real-time throttling, time shifting, and workload relocation.

As discussed in our recent article on compute flexibility, AI workloads no longer behave like fixed demand. Training jobs ramp up unpredictably, power availability varies by time and location, and cooling constraints increasingly limit when compute can run.


AIMI Compute Orchestrator converts these constraints into controllable variables by coordinating compute, power, and cooling as a unified system, enabling real-time throttling, time shifting, and workload relocation.

As discussed in our recent article on compute flexibility, AI workloads no longer behave like fixed demand. Training jobs ramp up unpredictably, power availability varies by time and location, and cooling constraints increasingly limit when compute can run.


AIMI Compute Orchestrator converts these constraints into controllable variables by coordinating compute, power, and cooling as a unified system, enabling real-time throttling, time shifting, and workload relocation.

Watch How Orchestration Works

Watch How Orchestration Works

How Compute Flexibility Works
Three coordinated control mechanisms are executed in real time by AIMI Compute Orchestrator.

How Compute Flexibility Works
Three coordinated control mechanisms are executed in real time by AIMI Compute Orchestrator.

How Compute Flexibility Works
Three coordinated control mechanisms are executed in real time by AIMI Compute Orchestrator.

Reducing power usage effectiveness (PUE) in data centers
Reducing power usage effectiveness (PUE) in data centers

Throttle Shift

Problem Today

AI workloads ramp together, causing power and thermal spikes that force blunt caps or idle capacity.

How AIMI Works
Continuously shapes GPU power in real time, throttling smoothly when constraints appear and restoring performance when headroom returns.

How AIMI Works
Continuously shapes GPU power in real time, throttling smoothly when constraints appear and restoring performance when headroom returns.

Location Shift

Problem Today

Flexible AI workloads run during peak pricing or grid stress simply because schedulers lack real-time awareness of power and cooling constraints.

How AIMI Works
Automatically pauses, slows, or defers eligible workloads—resuming execution when power availability and thermal headroom recover.

Reducing power usage effectiveness (PUE) in data centers
Reducing power usage effectiveness (PUE) in data centers
Reducing power usage effectiveness (PUE) in data centers
Reducing power usage effectiveness (PUE) in data centers

Time Shift

Problem Today

Compute remains fixed to constrained sites while capacity and power sit unused elsewhere across the fleet.

How AIMI Works
Dynamically places eligible workloads where power and cooling headroom exist—shifting execution as conditions change.

How AIMI Works
Dynamically places eligible workloads where power and cooling headroom exist—shifting execution as conditions change.

Compute Orchestration, Explained

Compute Orchestration, Explained

This walkthrough shows how AIMI Compute Orchestrator evaluates grid signals, facility conditions, and workload state in real time—then coordinates throttling, time shifting, and location shifting as a single control system.

This walkthrough shows how AIMI Compute Orchestrator evaluates grid signals, facility conditions, and workload state in real time—then coordinates throttling, time shifting, and location shifting as a single control system.

Talk to the AIMI Orchestrator Team

Get a quick response from our team on deployment fit, requirements, and next steps.

Talk to the AIMI Orchestrator Team

Get a quick response from our team on deployment fit, requirements, and next steps.

Schedule a Demo

Schedule a Demo

Schedule a Demo

See AIMI Compute Orchestrator in Action

This walkthrough shows how AIMI Compute Orchestrator evaluates grid signals, facility conditions, and workload state in real time—then coordinates throttling, time shifting, and location shifting as a single control system.