In a significant announcement at the Computex trade show in Taipei, Nvidia Chief Executive Jensen Huang revealed that the company’s next-generation artificial intelligence (AI) chip platform will be called “Rubin” and is slated for release in 2026. This ambitious move underscores Nvidia’s commitment to maintaining its dominance in the rapidly evolving AI chip market.
The Rubin family of chips will encompass a comprehensive range of components, including new graphics processing units (GPUs), central processing units (CPUs), and networking chips. While specific details remain scarce, Huang provided insights into some key features of the upcoming platform.
One of the notable highlights is the introduction of the “Versa” CPU, a new central processing unit designed to complement Nvidia’s AI-focused efforts. Additionally, the next-generation graphics chips, which are crucial for powering AI applications, will incorporate high-bandwidth memory from industry leaders such as SK Hynix, Micron, and Samsung.
In a strategic move to stay ahead of the curve, Nvidia has accelerated its release schedule for AI chip families. The company now plans to introduce a new generation of AI chips annually, marking a significant departure from the previous cadence of roughly every two years. This decision underscores Nvidia’s recognition of the rapidly evolving AI landscape and its commitment to delivering cutting-edge solutions at an unprecedented pace.
With an estimated 80% market share in the AI chip sector, Nvidia occupies a unique position as both a major enabler and beneficiary of the surging AI development worldwide. The company’s dominance in this field has been driven by its continuous innovation and ability to meet the growing demand for powerful computing solutions to fuel AI applications.
As the AI revolution continues to gain momentum, Nvidia’s announcement of the Rubin platform and its accelerated release cycle demonstrates the company’s determination to solidify its leadership in the AI chip market and shape the future of AI computing.