The full NVIDIA Nemotron 3 model family — Nano, Super, and Ultra — deployed across ONEANA's three-tier compute architecture. From the Jetson edge node in every patrol car to the DGX H100 cluster in Georgetown. Open weights. Sovereign compute. Zero foreign dependency.
Most nations deploying AI depend on proprietary models hosted on foreign servers. A single API policy change can disable an entire national security apparatus overnight. ONEANA eliminates this risk entirely by running NVIDIA Nemotron 3 — fully open models with published weights, training recipes, and datasets — on sovereign hardware inside Guyana.
The Nemotron 3 family uses a hybrid Mamba-Transformer Mixture-of-Experts (MoE) architecture. This means only a fraction of the model's parameters activate per inference — 3.6B of 31.6B for Nano, 10B of ~100B for Super. The result: frontier-class reasoning at a fraction of the compute cost.
The native 1M-token context window gives agents long-term memory. A police investigation spanning weeks of evidence, a customs audit referencing months of trade data, a health surveillance system tracking an outbreak across regions — all fit in a single context.
Nemotron 3 is fully open: weights, datasets, and training recipes published on Hugging Face. If NVIDIA disappeared tomorrow, Guyana would still have complete, modifiable, production-ready AI models running on its own hardware. No API key. No license server. No kill switch.
Mixture-of-Experts routing activates only relevant expert networks per token — why a 31.6B-parameter model runs on a Jetson Orin NX with 16GB memory.
Each model maps precisely to a tier in the ONEANA compute architecture. Nano runs on the edge. Super runs the departments. Ultra powers the federal layer.
Each Nemotron model deploys on the hardware tier it was designed for. No compromises. No overloaded nodes. Every layer runs at optimal throughput.
A single data event flows through the full Nemotron stack — from edge detection to departmental reasoning to federal intelligence — in under 200ms.
Nemotron 3 Super was purpose-built for multi-agent tool-calling. Combined with NemoClaw's privacy and security guardrails, ONEANA runs autonomous AI agents that investigate, correlate, and recommend — with full audit trails.
Every Nemotron Super agent runs inside the NemoClaw secure runtime (announced GTC 2026). NemoClaw wraps the OpenClaw open-source agent platform with NVIDIA's privacy and security guardrails, ensuring every agent action is logged, constrained, and auditable.
Nemotron 3 models are fine-tuned on Guyanese data: legal codes, police radio transcripts, customs tariff schedules, health protocols, Creolese language patterns, and local geography. NVIDIA's published training recipes and Nemotron-Personas synthetic data framework enable privacy-preserving dataset generation.
Nemotron 3's open-weight architecture means Guyana owns its AI the same way it owns its roads. The models run on domestic hardware, trained on domestic data, under domestic law.
A nation's digital intelligence should be as sovereign as its territory. ONEANA + Nemotron 3 is the first implementation of this principle at national scale: open models, on domestic hardware, trained on domestic data, serving every level of government from the officer on the street to the head of state. No foreign entity has a kill switch. No API provider can throttle national security. The AI belongs to Guyana.
The Nemotron implementation follows a phased approach: deploy, fine-tune, activate agents, and optimize.