A.I.M.I. / NETWORK ORCHESTRATION

Find idle capacity.
Put it to work.

Turn underutilized servers and GPUs into more productive AI infrastructure.

A.I.M.I. connects network signals, GPU utilization, and workload demand to help neoclouds route suitable workloads to available capacity—improving tokens per watt and creating room for more throughput and revenue.

Explore your network opportunity
NETWORK AWAREWORKLOAD AWAREGUARDRAIL DRIVEN

FROM VISIBILITY TO ACTION

Your next workload may already have a home.

Capacity can sit idle in one part of a fleet while another approaches its limits. A.I.M.I. helps connect those signals to routing decisions, so available GPUs can serve more useful work.

01 / SENSE

Find available capacity

Combine GPU utilization, server availability, network congestion, and power signals to identify idle or underused resources.

02 / PREDICT

Match demand to the fleet

Evaluate workload fit, latency, available memory, and network conditions before recommending where work can run effectively.

03 / ACT

Route within guardrails

Coordinate approved workload placement with the existing scheduling environment, respecting tenant isolation, service limits, and operator authority.

ILLUSTRATIVE NETWORK OPPORTUNITY

More useful work.
From the same power envelope.

When routing leaves GPUs underused, tokens per watt can plateau. Better placement can put that capacity to work.

+22%Illustrative tokens-per-watt uplift

TOKENS PER WATT / NORMALIZED INDEX

1.221.000.78LowerHigherOFFERED WORKLOAD DEMAND →
— Before: capacity left idle— With A.I.M.I.: better routing

Illustrative scenario, not measured performance or a forecast. Baseline = 1.00. The 1.22 scenario assumes a comparable workload mix and power envelope; actual gains depend on fleet utilization, workload fit, and operating limits.

BUILT FOR NEO CLOUD OPERATORS

Make more of the fleet you have.

Improve utilization

Find headroom across servers and GPUs before expanding capacity.

Increase throughput

Route compatible work toward available resources while protecting latency and service requirements.

Grow revenue potential

Create room for more billable workloads from existing infrastructure, subject to customer demand and fleet constraints.

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