Own the compute, not the complexity.
AI compute infrastructure for deploying, partitioning, managing, and maximizing GPUs.
Buying GPUs is easy. Operating them isn't.
Three models. One GPU.
What nusapod manages.
Fractional GPU
Allocate GPUs by memory slice so multiple deployments share one card without stepping on each other.
GPU orchestration
Workload scheduling across GPU resources — placement based on memory, availability, and priority.
Inference workloads
Model deployment as endpoints on hardware you control.
Monitoring
GPU utilization and workload health, per card and per deployment.
Clusters
From one GPU to thousands — manage machines as one pool, with multi-user environments.
Private infrastructure
Hosted, bring your own GPUs, or self-hosted. One product, three ways to run it.
Inside nusapod.
Applications
Inference
nusapod Control Plane
GPU Scheduler
GPU Infrastructure
From one GPU to thousands.
GPU owners
Home labs and personal AI servers, turned into programmable compute.
AI builders
Run inference on hardware you control, without a platform team.
Enterprise
Enterprise GPU clusters with multi-user isolation and visibility.
Data centers
Regional AI data centers packaging capacity as managed infrastructure.
Government
Government AI clouds and sovereign compute that stays within borders.