According to a recent LinkedIn post from Together AI, NVIDIA’s Nemotron 3 Nano Omni multimodal model is now offered on the company’s production-focused inference platform. The post highlights support for audio, video, image, document and text reasoning within a single enterprise-oriented model.
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The LinkedIn post emphasizes a hybrid Mamba-Transformer mixture-of-experts design that reportedly activates about 3B parameters per token, which is presented as enabling materially higher throughput than comparable models. Together AI suggests its inference stack is tuned to capture these efficiency gains for demanding workloads.
According to the post, Together AI positions this integration as fully managed infrastructure with no need for customers to provision GPUs or handle scaling and uptime. This could lower adoption friction for enterprises building agentic applications that require long-context and real-time responsiveness.
The post also underscores data privacy and security assertions, stating that customer data is not used for model training and referencing zero-trust architecture and enterprise-grade support. For investors, this focus may indicate a push to attract risk-sensitive corporate clients and strengthen Together AI’s role as an infrastructure layer in the rapidly evolving AI model ecosystem.
If adoption of Nemotron 3 Nano Omni via Together AI’s platform scales, it could enhance usage-based revenue potential and deepen relationships with NVIDIA and enterprise developers. More broadly, the move may reinforce Together AI’s competitive positioning in multimodal AI inference, where performance, cost-efficiency and security are key differentiators for customers.