01 / SENSE
Find available capacity
Combine GPU utilization, server availability, network congestion, and power signals to identify idle or underused resources.
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 opportunityNETWORK AWAREWORKLOAD AWAREGUARDRAIL DRIVEN
A.I.M.I.™ IN ACTION / ILLUSTRATION
From idle capacity to useful work.
See how A.I.M.I.™ connects server availability to workload placement.
LOCAL ORCHESTRATIONAVAILABLE CAPACITY
A.I.M.I.™MATCH WORKLOAD
SERVER 01Available · selected
SERVER 02Idle · available
SERVER 03Idle · available
01 Observe02 Select03 Route
Illustrative workload routing
AUTONOMOUS ACTION LOGILLUSTRATION
- 01
Available capacity detected
A.I.M.I.™ identifies idle servers from availability and utilization signals.
Current step - 02
Placement constraints checked
Workload fit, memory, network conditions, and tenant boundaries guide placement.
Next - 03
Suitable workload routed
A.I.M.I.™ coordinates placement through the existing scheduling environment.
Next - 04
Utilization response tracked
The action is logged and the fleet is monitored as more capacity becomes available.
Next
Tenant boundaries · workload fit · operator limits
Illustrative product sequence, not live site telemetry.
Request a demoFROM 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.
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
— 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.