AI agents lose track, cost more, and fail to work together. Open models can help keep tasks clear, cut costs, and let agents work as a team.
Teams building multi-agent AI systems face problems. Costs rise as more agents run in parallel. Agents lose context over long tasks. Coordination fails. Many teams struggle to trust automated work when models are closed or hard to inspect. These issues affect startups building AI teammates, enterprises running workflows, and public organizations working under local rules.
Nemotron 3 from NVIDIA targets these users. It is a set of open models, data, and tools for multi-agent systems that cost less to run and are easier to control and inspect. The focus is on agent workflows, not single chatbots.
As teams scale from one agent to many, they often mix models. Frontier models handle complex reasoning, while open models handle routine steps. Nemotron 3 fits this setup. Routing work between frontier models and Nemotron reduces token use while maintaining output quality.
The models are used in workflows such as manufacturing operations, cybersecurity analysis, software development, and media production. These settings require agents to share context, act in order, and respond with low delay.
Nemotron 3 also supports sovereign AI needs. Organizations in regions such as Europe and South Korea use open models to adapt AI systems to their own data, policies, and regulations.
For startups, the models reduce friction from prototypes to enterprise deployment. Venture-backed teams use Nemotron 3 to build AI agents that work with people rather than replace them.
On the technical side, the design improves efficiency. Nemotron 3 Nano delivers up to four times higher token throughput than the previous Nano model and reduces reasoning tokens by up to 60%, lowering inference cost. Its one-million-token context window helps agents track long, multi-step tasks without losing earlier details. Independent benchmarks rank the model as the most open and efficient in its size range, with accuracy results.
“Open innovation is the foundation of AI progress,” said Jensen Huang, founder and CEO of NVIDIA. “With Nemotron, we’re transforming advanced AI into an open platform that gives developers the transparency and efficiency they need to build agentic systems at scale.”
