According to a recent LinkedIn post from Together AI, NVIDIA’s Nemotron 3 Nano Omni model is now accessible through Together AI’s production inference platform. The post highlights that the multimodal model supports audio, video, image, document and text reasoning within a single architecture aimed at enterprise use cases.
Claim 55% Off TipRanks
- Unlock hedge fund-level data and powerful investing tools for smarter, sharper decisions
- Discover top-performing stock ideas and upgrade to a portfolio of market leaders with Smart Investor Picks
The company’s LinkedIn post suggests that performance benefits stem from a hybrid Mamba-Transformer Mixture-of-Experts design that activates roughly 3 billion parameters per token, which is described as enabling materially higher throughput versus comparable models. Together AI’s infrastructure is described as fully managed, with no need for customers to provision GPUs or maintain underlying compute.
According to the post, the platform handles scaling, uptime and token streaming to support high-load, long-context workloads, positioning the service for agent-based and other latency-sensitive applications. The post further emphasizes data separation from model training, zero-trust architecture and enterprise-grade support, framing the offering as suitable for security-conscious customers.
For investors, the integration of Nemotron 3 Nano Omni into Together AI’s stack may indicate a deeper alignment with NVIDIA’s ecosystem and a strategic focus on high-performance multimodal workloads. If adopted by enterprise developers, this capability could expand usage of Together AI’s infrastructure, potentially improving revenue visibility and competitive positioning in the AI inference and agentic-application markets.