Power intelligence for AI infrastructure

Make every watt
compute harder.

Traversaal Energy turns fixed power into flexible AI capacity—so you can run more useful compute, adapt to grid conditions, and plan infrastructure with confidence.

01Observe the envelope
02Forecast demand
03Orchestrate compute

What if the capacity you need
is already inside the power you pay for?

Static power limits are set for the worst case. Real workloads rarely hit it. Set your own envelope below — the range is illustrative, not a promise.

Model your capacity

Your compute is dynamic.
Your power strategy should be too.

01

Push density inside the same envelope

Run more accelerators per rack without breaching your power ceiling. Enforced caps make higher density something you can sell, not just something you can try.

Density headroom
02

Recover stranded power

See the headroom hidden between static power limits and the way AI workloads actually behave.

Stranded capacity
03

Flex with grid conditions

Shift flexible compute into cheaper, cleaner, cooler windows. Lower cooling load, lower carbon intensity, longer hardware life.

Grid-aware scheduling

Find the capacity hiding inside your power envelope.

Static limits leave space between available energy and useful compute. Explore how a power-aware control layer can make that gap visible.

  • 01 Set your current power envelope
  • 02 Add observed cluster utilization
  • 03 See an illustrative flexibility range
Interactive scenario
ILLUSTRATIVE

Modeled flexible capacity

1.49 MW
1.16 MWEstimated range1.76 MW
2,126

700W GPU-equivalentsfor scale reference, not a performance claim

Scenario uses a simplified utilization-flexibility model. Actual opportunity depends on workload, hardware, cooling, power topology, and operating policy.

From energy signal to compute action.

A context layer for the physical constraints behind every AI decision.

01Sense

Read the whole power story.

Unify facility signals, cluster telemetry, workload queues, and carbon intensity into a live operating picture.

02Decide

Turn constraints into policy.

Reason across SLAs, energy ceilings, thermals, model priority, and cost—continuously, not once a quarter.

03Shift

Move compute to the right moment.

Shape, schedule, and route flexible AI workloads while keeping critical inference responsive.

“The next era of AI infrastructure won’t be defined by who has the most power. It will be defined by who uses power with the most intelligence.”
Grid-awareHardware-agnosticPolicy-controlledOperator-first

More AI capacity may already be there.

Bring us your infrastructure constraints. We’ll help you map the opportunity.