The 21st-century world is experiencing unprecedented rapid growth in generative AI. Nvidia is primarily taking advantage of this massive growth and larger global spending for AI as the most renowned chipmaker globally. In the quest of on-boarding government agencies and a vast array of companies besides cloud-computing giants, the company has recently announced its next-gen AI-driven chip architecture Rubin.
During the event COMPUTEX 2024 held in Taiwan, NVIDIA revealed that the latest addition will be a futuristic AI-driven platform and is expected to be launched in 2026. The company revealed that they have systematically planned to replace the prevailing Graphics Processing Unit (GPU) with its successor featuring cutting-edge technology supported by an ARM-based central processor (CPU) named VERA.
This new version will address the vital bottlenecks of large-scale production by integrating advanced high-bandwidth memory (HBM4). It’s expected to be operating at a notable speed of 3600 GB per second. These memories will be procured from companies like Samsung, SK Hynix, and Micron to empower AI applications to perform at their highest abilities without any interruptions. This Rubin platform besides HBM4 will be working with NVLink 6 Switch.
The company announced the platform just three months after the announcement of another power-packed next-generation AI chip named BLACKWELL which is scheduled to be launched in 2025. Keeping an eye on the upgradation of AI by NVIDIA, the company promised a fair balance of cost and energy savings in the upcoming platform.
The company has already worked on optimizing energy efficiency and cost savings by approximately 97% & 98% respectively with the company’s existing technology. To cater to the rising demand for fast computational methods for multi-dimensional large data sizes, Nvidia is continuously upgrading its AI accelerator with the latest additions.
Thus, the long-term planning for launching the Rubin platform by Nvidia is an informed decision to revolutionize the generative AI market for which the tech circle is also equally excited. The move has also encouraged the company’s competitors and counterparts to pour more money into the global AI space. It will bring diversification in GPU and CPU hardware with the use of future generative AI models in the coming years.