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Home Nvidia Unveils Rubin CPX: A New AI Chip for Video and Code Generation
Tech Desk
English Technology

Nvidia Unveils Rubin CPX: A New AI Chip for Video and Code Generation

Tech DeskMynul Islam NadimSeptember 10, 20253 Mins Read
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Nvidia has announced its next-generation AI chip, the Rubin CPX. The new processor is engineered for heavy-duty tasks like video creation and software generation. It is expected to launch in late 2026.

Nvidia Rubin CPX

The chip is designed to handle massive context loads, processing up to one million tokens. This allows it to manage complex data like hour-long videos efficiently. According to TechCrunch, this represents a significant leap in AI inference capabilities.

Unprecedented Performance and Scale

The Rubin CPX emerges from the Vera Rubin NVL144 CPX rack-scale system. It delivers a staggering eight exaflops of compute power. The system also boasts 100 terabytes of memory.

Nvidia claims the new platform offers a 7.5x performance gain over its previous Blackwell systems. This boost is crucial for running advanced AI models. It enables faster and more complex computations for developers and enterprises.

Driving a New Wave of AI Applications

This technology is a game-changer for content creation studios. They can use it for high-quality, long-form video generation. This could automate editing and special effects processes.

Software development will also be transformed. The chip can analyze entire codebases to generate coherent software. This moves beyond simple code snippets to full project assistance.

The financial potential is immense. Nvidia projects a $100 million infrastructure investment could yield $5 billion in token-driven revenue. This new monetization model could redefine the AI-as-a-service industry.

The Broader Competitive Landscape

Nvidia’s announcement reinforces its market leadership. The company’s Rubin GPU and Vera CPU are already in fabrication at TSMC. This shows a clear path to a 2026 release.

Despite high demand, the company clarified its H100 and H200 GPUs are not sold out. Supply remains available for current-generation hardware. This ensures a smooth transition for clients awaiting the new technology.

Globally, the push for AI supremacy continues. Germany recently activated the Jupiter exascale supercomputer, powered by Nvidia. This highlights the global race for advanced computing infrastructure.

Nvidia’s Rubin CPX is set to become the cornerstone of next-generation AI workloads. Its focus on video and code generation opens new frontiers for automation and creativity. The chip promises to redefine what is possible in artificial intelligence.

Info at your fingertips

What is the Nvidia Rubin CPX?

It is a new AI chip designed for processing massive data contexts. It excels at tasks like video generation and complex code creation. The chip is part of a larger rack-scale system.

When will the Rubin CPX be available?

Nvidia is targeting a launch for late 2026. The components are currently in the fabrication stage. This timeline is subject to standard production variables.

How does it improve on previous Nvidia chips?

It offers a 7.5x performance gain over Blackwell-based systems. It specializes in long-context inference, handling over one million tokens. This is a major step forward in processing efficiency.

Who will benefit from this technology?

Content creation studios and software development firms will see immediate benefits. Enterprises using large-scale AI models will also find it crucial. It enables new, more complex applications.

What is the projected financial impact?

Nvidia suggests a $100 million infrastructure investment could generate $5 billion in revenue. This is based on a token-based monetization model. It highlights the immense value of scalable AI processing.

Is there a supply issue with current Nvidia chips?

No, the company has stated its H100 and H200 GPUs are not sold out. Supply remains healthy despite high market demand. This ensures continued access to current-generation technology.

Trusted Sources: TechCrunch, Reuters, Associated Press.


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