[ nusarouter×nusapod ]
NUSA connects the infrastructure that runs AI with the models that power it.
From GPU compute to AI model access, one ecosystem to build, deploy, and scale AI.
GPU infrastructure lives in one place. AI models live somewhere else.
Teams manage multiple providers, APIs, deployments, billing systems, and infrastructure stacks.
GPU resources are distributed across local machines, clouds, clusters, and data centers.
Every AI provider has its own API, billing system, limits, and interface.
Compute and intelligence remain separate infrastructure layers.
nusapod
Deploy, partition, manage, and maximize GPU infrastructure — from a home lab to data centers.
nusarouter
One account. One balance. One API. Many models — across providers and open-model infrastructure.
Applications
nusarouter
AI Models
nusapod
GPU Infrastructure
Build AI applications without managing dozens of model providers.
Turn local GPU resources into programmable AI infrastructure.
Operate private AI infrastructure with greater control over compute and models.
Transform GPU capacity into managed, AI-ready infrastructure.
Build sovereign AI infrastructure with greater control over compute and deployment.
Connect GPU infrastructure and AI providers.
nusapod manages compute resources, workloads, and GPU allocation.
nusarouter provides unified access to AI models.
Applications consume AI through one programmable infrastructure layer.
Today, AI infrastructure is concentrated inside a handful of platforms. We believe the future is more distributed.
Individuals will own compute.
Enterprises will operate private AI.
Data centers will expose programmable GPU infrastructure.
Governments will build sovereign AI capacity.
NUSA is building the infrastructure layer for that future.
From GPU compute to AI models, build with one infrastructure ecosystem.