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Nvidia has unveiled the Llama Nemotron family of reasoning AI models, designed to empower AI agents and drive advancements in agentic AI for enterprise deployments. These open-source models aim to provide enterprises with a foundational layer for creating intelligent systems capable of independent or collaborative problem-solving. Built upon Meta's Llama models and enhanced through Nvidia's post-training process, Llama Nemotron boasts up to 20% improved accuracy and 5x faster inference speeds compared to competitors.

Nvidia reports that post-training has enabled the Llama Nemotron family to display up to 20% improved accuracy compared to base models and 5x faster inference speeds than other leading open reasoning models. To support enterprise adoption, NVIDIA is also releasing new agentic AI tools as part of its AI Enterprise software platform, including the AI-Q Blueprint for connecting knowledge to AI agents, the AI Data Platform for enterprise infrastructure, new NIM microservices for inference optimization, and NeMo microservices for continuous learning. Microsoft, SAP, ServiceNow, Accenture and Deloitteare already using or planning to useLlama Nemotronto enhance their own offerings.

ImgSrc: dataphoenix.inf

References :

• Data Phoenix: Nvidia unveils Llama Nemotron reasoning model family designed for powering AI agents
• BigDATAwire: Nvidia Preps for 100x Surge in Inference Workloads, Thanks to Reasoning AI Agents
• AI News | VentureBeat: At GTC, Nvidia is rolling out an open source reasoning model family to help advance agentic AI for enterprise deployments.
• CIO Dive - Latest News: The Llama Nemotron family is designed to provide enterprises with a foundation to create agentic capabilities, the chipmaker said.

Classification:

• HashTags: #AI #Nvidia #MachineLearning
• Company: Nvidia
• Target: AI agents
• Attacker: Nvidia
• Product: Llama Nemotron
• Feature: reasoning AI models
• Type: AI
• Severity: Informative