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Description
The NVIDIA Nemotron 3 Nano Omni represents a groundbreaking open foundation model that integrates various modes of perception and reasoning—including text, images, audio, video, and documents—into a single streamlined architecture. By eliminating the necessity for distinct models tailored to each modality, it effectively minimizes inference delays, simplifies orchestration, and lowers costs while ensuring a cohesive cross-modal context. This innovative model is specifically engineered for agentic AI systems, functioning as a perception and context sub-agent that empowers larger AI entities to perceive and interpret their surroundings in real-time across various formats such as screens, recordings, and both structured and unstructured data. Its capabilities extend to complex multimodal reasoning tasks, encompassing document comprehension, speech recognition, extensive audio-video analysis, and intricate computer workflows, thus allowing agents to navigate dynamic interfaces and multifaceted environments with ease. With a hybrid architecture that is finely tuned for handling long contexts and high throughput, the Nemotron 3 Nano Omni is adept at managing sizable inputs, including multi-page documents, making it a versatile tool in the realm of AI development. Not only does it unify modalities, but it also enhances the overall efficiency of intelligent systems in processing and understanding diverse data types.
Description
The Nemotron-3 Super is an innovative member of NVIDIA's Nemotron 3 series of open models, specifically crafted to facilitate sophisticated agentic AI systems that can effectively reason, plan, and carry out multi-step workflows in intricate environments. This model features a unique hybrid Mamba-Transformer Mixture-of-Experts architecture that merges the streamlined efficiency of Mamba layers with the contextual depth provided by transformer attention mechanisms, which allows it to adeptly manage extended sequences and intricate reasoning tasks with impressive accuracy and throughput. By activating only a portion of its parameters for each token, this architecture significantly enhances computational efficiency while preserving robust reasoning capabilities, making it ideal for scalable inference under heavy workloads. The Nemotron-3 Super comprises approximately 120 billion parameters, with around 12 billion being active during inference, which substantially boosts its ability to handle multi-step reasoning and collaborative interactions among agents within extensive contexts. Such advancements make it a powerful tool for tackling diverse challenges in AI applications.
API Access
Has API
API Access
Has API
Pricing Details
Free
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
blogs.nvidia.com/blog/nemotron-3-nano-omni-multimodal-ai-agents/
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
nvidia.com