Technology

Together AI Adds NVIDIA Nemotron 3

Together AI launches NVIDIA's Nemotron 3 Nano Omni, a unified multimodal AI model, to developers, simplifying agentic application creation.

StartupHub.ai Staff

By StartupHub.ai Staff, reviewed by Daniel Singer, Editor

2 min read

NVIDIA Nemotron 3 Nano Omni model architecture diagram
NVIDIA Nemotron 3 Nano Omni offers unified multimodal reasoning.Credit: Together AI

Together AI is bringing NVIDIA's new Nemotron 3 Nano Omni model to developers on day one of its release. This open multimodal model is designed to process video, images, audio, and language simultaneously, marking a significant step for agentic AI development.

The Nemotron 3 Nano Omni's unified approach to multimodal reasoning eliminates the need for separate inference passes for different data types. This streamlines complex agent applications that require simultaneous understanding of various inputs, such as call recordings, screenshots, and documents.

Optimized for Agentic Workloads

Together AI's platform is optimized for the Nemotron 3 Nano Omni's hybrid Mamba-Transformer Mixture of Experts (MoE) architecture. This optimization ensures high throughput and cost-efficient inference, even with the model's 30 billion parameters, by activating only a fraction for each token.

The platform provides managed infrastructure built for the demands of production-scale agentic inference. This includes reliable performance, high uptime, and seamless scaling from prototype to production, removing operational overhead for developers.

Unified Multimodal Reasoning

Traditional multimodal AI often relies on stitching together multiple models, leading to increased latency and potential errors. Nemotron 3 Nano Omni, with its 30B parameters and support for up to 256K tokens of multimodal context, offers a cohesive reasoning loop.

This single-model approach reduces system complexity and improves efficiency for tasks involving video, audio, and document processing. The model's open nature allows for flexible deployment across various environments, including on-premises and air-gapped systems.

Use cases include customer service agents analyzing call recordings alongside policy documents, financial analysts processing earnings calls and investor presentations, and computer agents interacting with UIs based on screen recordings and documentation. It simplifies the development of applications that previously required complex multi-model stacks.

Developers can now access NVIDIA Nemotron 3 Nano Omni on Together AI for building more sophisticated and integrated AI applications.

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TopicsNvidiaNemotron 3 Nano OmniTogether AIMultimodal AIAI InfrastructureLLMsAgentic AI

StartupHub.ai Staff

Written by

StartupHub.ai StaffEditorial team

The staff writers of StartupHub.ai, ranging from investment analysts to avid AI tool users, early adopters and critical enthusiasts. Backgrounds span engineering, business and the arts. We hold every piece to rigorous standards of research and review.

Daniel Singer

Reviewed by

Daniel Singer is an AI expert who has been writing about, covering and building AI technology since 2018.

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