Nvidia intros six new AI chips and new open models

2025-12-15 · Source: aibusiness · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems, Cloud Computing & IT Infrastructure · Depth: Intermediate, short

Summary

Nvidia introduced the Rubin platform, a new AI supercomputer system comprising six new AI chips, at the CES consumer electronics show in Las Vegas on January 6, 2026. This platform succeeds the Blackwell platform and integrates components like the Nvidia Vera CPU, Nvidia Rubin GPU, NVLink 6 Switch, ConnectX-9 SuperNIC, BlueField-4 DPU, and Spectrum 6 Ethernet Switch. The Rubin platform utilizes NVLink interconnect technology and transformer technologies to accelerate agentic AI, advanced reasoning, and mixture-of-experts models. Concurrently, Nvidia released new open generative AI models, including expanded Nemotron family agent-building models and new World Foundation Models within the Cosmos suite, designed for humanoid robots, physical AI, and synthetic data generation. The company also highlighted its Alpamayo model for autonomous vehicles.

Key takeaway

For CTOs and enterprise architects evaluating AI infrastructure, Nvidia's Rubin platform and specialized open models signal a shift towards integrated "AI factory" solutions. Your strategy should consider this full-stack approach, moving beyond GPU-centric thinking to optimize for advanced reasoning and agentic AI. Be mindful of potential vendor dependency as Nvidia expands its ecosystem across hardware and software.

Key insights

Nvidia's new Rubin platform and specialized open models emphasize a full-stack AI factory approach beyond just GPUs.

Principles

• AI infrastructure is an "AI factory" scale problem.
• Specialized open models accelerate implementation.
• AI is multifaceted and multi-form factor.

Method

Nvidia's full-stack approach combines diverse AI chips within the Rubin platform and offers specialized open models with weights and recipes to address specific domain problems.

In practice

• Use Rubin platform for agentic AI and MoE models.
• Deploy Nemotron for multi-agent systems.
• Utilize Cosmos models for physical AI and robotics.

Topics

• NVIDIA Rubin Platform
• Open Foundation Models
• AI Hardware Architecture
• Agentic AI
• Autonomous Vehicles

Best for: NLP Engineer, Computer Vision Engineer, CTO, AI Engineer, Machine Learning Engineer, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by aibusiness.