Nvidia has revealed the new generation of artificial intelligence chips in an unexpected move less than three months after launching the Blackwell chips.
The new “Rubin” chip announced by the company is the upcoming version of the “Blackwell” chips used in data centers and is still in production after being announced last March.
The company unveiled its next generation of chips before shipping Blackwell chips to customers, indicating its desire to strengthen its dominance in the smart chip market, making it one of the largest companies in the world by value.
Nvidia is expected to start shipping Rubin chips in 2026, with the aim of improving energy efficiency as the company seeks to address growing concerns about the expansion of artificial intelligence data centers putting pressure on energy grids in some areas.
Nvidia revealed limited information in the announcement, but the company confirmed that it will introduce new artificial intelligence chips annually.
On the other hand, innovation rate is crucial for Nvidia in the financial market, as investors rely on the continued revolution of artificial intelligence led by major tech companies.
Nvidia successfully increased its market value by $350 billion thanks to its revenue growth in recent years.
Currently, Nvidia sells most of the required artificial intelligence chips for training large language models like OpenAI’s GPT model, but faces increasing competition from companies like AMD and Intel, as well as custom chips developed by cloud computing companies like Amazon, Google, and Microsoft.
In a related context, the company announced a new central processing unit based on Vera Arm architecture, aiming to manufacture more chips used in data centers for artificial intelligence.
Central processing units (CPUs) are dominated by Intel and AMD, but Nvidia aims to reshape the server market through its own artificial intelligence chips, as artificial intelligence increases its share in data center computing.
Nvidia started more than 30 years ago manufacturing graphics processing units (GPUs) that support Intel’s central processing units in computers. However, the company quickly realized that the technologies used in its GPUs could also be used in other areas like artificial intelligence, leading to a significant change in the company’s strategy and business model.
