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
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 opportunityFROM VISIBILITY TO ACTION
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
Combine GPU utilization, server availability, network congestion, and power signals to identify idle or underused resources.
02 / PREDICT
Evaluate workload fit, latency, available memory, and network conditions before recommending where work can run effectively.
03 / ACT
Coordinate approved workload placement with the existing scheduling environment, respecting tenant isolation, service limits, and operator authority.
ILLUSTRATIVE NETWORK OPPORTUNITY
When routing leaves GPUs underused, tokens per watt can plateau. Better placement can put that capacity to work.
TOKENS PER WATT / NORMALIZED INDEX
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
Find headroom across servers and GPUs before expanding capacity.
Route compatible work toward available resources while protecting latency and service requirements.
Create room for more billable workloads from existing infrastructure, subject to customer demand and fleet constraints.