Solutions

Solutions for teams running GPU infrastructure in production.

One platform, four audiences. ParallelIQ adapts to whether you sell GPUs, rent them, run them privately, or build the runtime everyone else uses.

for gpu cloud providers

GPU Cloud Providers

Independent clouds offering GPU compute to AI teams worldwide.

Multi-tenant capacity utilization in one view
Detect idle revenue leakage across customers
Policy-aware recommendations for fairness and SLA compliance
Per-tenant cost intelligence and chargeback-ready exports

for enterprise ai teams

Enterprise AI Teams

Self-hosted inference shops who need cost control and reliability.

Per-model cost intelligence — hour, request, token
Compliance-ready audit log for every change
Rollback any operator action in one click
Integrate with your incident, ticketing, and identity stack

for on-prem & dc operators

On-Prem & DC Operators

Private GPU fleets with strict residency and air-gapped requirements.

Air-gapped deployment with no outbound calls
Hardware-aware placement recommendations across heterogeneous gear
Capacity planning grounded in real workload telemetry
Role-based controls aligned with your enterprise IAM

for inference platform companies

Inference Platform Companies

ML platforms and inference engines serving production workloads.

Drop-in observability for vLLM, Triton, KServe, SGLang
Routing-aware metrics with KV cache affinity
White-label dashboards for your customers
Programmable APIs to inform runtime decisions

Get more from the cluster you already have.