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.
nusarouter and nusapod are not two unrelated products. They solve two sides of the same AI infrastructure stack.
Applications
nusarouter
nusapod
GPU Infrastructure
Together: one programmable AI infrastructure stack.
Which provider hosts it
Where the GPU is located
How that GPU is partitioned
How the model is deployed
How the infrastructure is operated
Developers, AI applications, and businesses reach every model through nusarouter.
Today nusarouter connects to external providers. Over time, routing spans NUSA-operated compute too.
The more infrastructure nusapod manages, the more compute becomes available to the ecosystem.
Developers drop separate provider accounts, keys, and balances. The existing OpenAI SDK points at api.nusarouter.com — change the model string, keep the code.
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.
Enterprise GPU clusters run as multi-user environments on nusapod, while applications reach both private and external models through one nusarouter endpoint.
GPU cloud providers and regional data centers turn raw capacity into managed, AI-ready compute — hosted, bring-your-own-GPU, or self-hosted.
Compute that stays within borders, rupiah billing on local payment rails, PSE registration with Komdigi, and Zero Data Retention on nusarouter.
Any model. Any compute. One AI infrastructure layer.