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Sakana AI Integrates Nvidia Nemotron Models Into Fugu Orchestration System

aiai-productsai-agents-codingai-modelingai-open-models 6 posts · 2 accounts

Sakana AI is expanding its collaboration with Nvidia, integrating the Nemotron family of open-weight models into its Fugu multi-agent orchestration platform. The system uses a single API to dynamically select, coordinate, and combine specialized models for each task, removing reliance on standalone monolithic models.

The integration positions Nemotron as a specialized agent within a broader agentic workflow, demonstrating that open models perform better when coordinated across complex, multi-step environments. The partnership yields performance data on model coordination for Nvidia while expanding the model selection available to Fugu.

From the sources (6 posts)

@sakanaailabs

Sakana AI Teams With NVIDIA to Advance Open Model Innovation from Japan We're announcing the next phase of our collaboration with NVIDIA. We're bringing NVIDIA's open model stack, including the Nemotron family, into Sakana Fugu, our multi-

@hardmaru

RT @SakanaAILabs: Sakana AI Teams With NVIDIA to Advance Open Model Innovation from Japan We're announcing the next phase of our collabora…

@hardmaru

We’re excited to collaborate with NVIDIA to build the next generation of Fugu orchestration models together, by incorporating leading open-weights models.

@sakanaailabs

RT @hardmaru: We’re excited to collaborate with NVIDIA to build the next generation of Fugu orchestration models together, by incorporating…

@sakanaailabs

NVIDIAとSakana AI、オープンモデルによるイノベーションのため協業拡大 本日、Sakana AIはNVIDIAとのコラボレーションを強化し、日本発の「集合知」の取り組みを次なるフェーズへ進めることを発表します。 私たちのマルチエージェント・オーケストレーションシステム「Sakana Fugu」に、Nemotronファミリーを含むNVIDIAのオープンモデル群を統合します。 Sakana Fuguは、単一のAPIの裏側で司令塔のように働き、タスクごとに最適なモ

@hardmaru

RT @SakanaAILabs: NVIDIAとSakana AI、オープンモデルによるイノベーションのため協業拡大 本日、Sakana AIはNVIDIAとのコラボレーションを強化し、日本発の「集合知」の取り組みを次なるフェーズへ進めることを発表します。 私たちのマルチ…

Preview built on a synthetic news corpus (16 weeks, Apr–Jul 2026). Impact calls are model reads, not price data.

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