One ecosystem

Compute meets intelligence.

nusarouter and nusapod are not two unrelated products. They solve two sides of the same AI infrastructure stack.

nusarouter · access layer — nusapod · compute layer
The stack

Four layers. One system.

Hover a layer to see its role.

Applications

Users and applications request intelligence through one interface.

nusarouter

Access layer — decides which model answers each request.

nusapod

Compute layer — slices, scheduling, deployment.

GPU Infrastructure

Personal GPU · enterprise · data center · government.

Two questions
01 — nusarouter answers

“What intelligence should this application use?”

02 — nusapod answers

“Where should that intelligence run?”

Together: one programmable AI infrastructure stack.

The end state

They simply request intelligence.

A developer wants to run a model. They shouldn't need to know:

01Which provider hosts it

02Where the GPU is located

03How that GPU is partitioned

04How the model is deployed

05How the infrastructure is operated

The flywheel

Better as one stack.

01

Demand.

Developers, AI applications, and businesses reach every model through nusarouter.

02

Intelligent routing.

Today nusarouter connects to external providers. Over time, routing spans NUSA-operated compute too.

03

Supply.

The more infrastructure nusapod manages, the more compute becomes available to the ecosystem.

nusarouter aggregates AI demand. nusapod enables AI compute supply.

Use cases

How NUSA gets deployed.

Five ways teams put nusarouter and nusapod to work — from a single developer to sovereign infrastructure.
OpenAI + Anthropic formats

Developer Platform • nusarouter

One API for every model.

Developers drop separate provider accounts, keys, and balances. The existing OpenAI SDK points at api.nusarouter.com — change the model string, keep the code.

See the quickstart
01 / Developer Platform
3 GPUs → 1 GPU

Private AI Deployment • nusapod

Three models on one GPU.

gpt-oss-120b, qwen3-32b, and bge-m3 share a single 141 GB NVIDIA H200 as fractional slices — instead of pinning one model per card.

Explore nusapod
02 / Private AI Deployment
Multi-user GPU clusters

Enterprise AI Infrastructure • nusapod + nusarouter

Private compute, one gateway.

Enterprise GPU clusters run as multi-user environments on nusapod, while applications reach both private and external models through one nusarouter endpoint.

See the stack
03 / Enterprise AI Infrastructure
Three ways to run

GPU Cloud • nusapod

Capacity, packaged as infrastructure.

GPU cloud providers and regional data centers turn raw capacity into managed, AI-ready compute — hosted, bring-your-own-GPU, or self-hosted.

Explore nusapod
04 / GPU Cloud
Built in Indonesia

Sovereign AI • nusapod + nusarouter

AI that stays local.

Compute that stays within borders, rupiah billing on local payment rails, PSE registration with Komdigi, and Zero Data Retention on nusarouter.

About NUSA
05 / Sovereign AI
One ecosystem

Build on your own terms.

Any model. Any compute. One AI infrastructure layer.