Tokyo-based startup Sakana AI is adding Nvidia's open Nemotron models to its Fugu orchestrator. The partnership is meant to prove that coordinated open models can keep up with frontier systems.
Sakana AI launched Fugu just recently. The system is itself a language model, trained to call other LLMs from an agent pool that includes instances of itself. Behind a single API, Fugu dynamically picks which models to combine for a given task, delegates subtasks, and synthesizes the results into one response.
The setup is modular. New models can be added at any time, so the system isn't tied to the strengths or outages of any single provider, according to Sakana AI. In its own benchmarks, the company claimed its stronger variant Fugu Ultra performed on par with Anthropic's Fable 5 and Mythos Preview. Early independent tests were less enthusiastic, though, with criticism around speed and cost.
Nemotron fills a specialist role in Fugu's agent pool
Nvidia's Nemotron family consists of open-weight models and tools. Sakana AI points to their strengths in coding, tool calling, and instruction following. As specialist models, they're meant to complement the frontier models inside Fugu's orchestration layer, not replace them. Open models become more useful when they're orchestrated in agentic systems rather than deployed in isolation, the company says.
