Nvidia Announces New Rubin CPX Chip for Complex AI Tasks

Nvidia, a key player in the artificial intelligence computing market, has announced a new product designed to tackle complex tasks such as video generation and software development.

The new product, called Rubin CPX, is scheduled for release in late 2026. It will be available as boards that can be integrated into existing servers or used as standalone systems within data centers.

According to the company, this development is based on the new Rubin product line and is aimed at improving the efficiency of certain types of AI computations. This reflects Nvidia's rapid pace of hardware and software innovation, allowing it to maintain its market leadership.

Nvidia explains that some stages of the AI ​​inference process, where the system generates responses to queries, are not yet efficient enough. In the current architecture, a single GPU processes incoming data, generates and delivers a response. The new architecture splits the stages of query understanding and response generation across different GPU types, which the company claims will make the hardware more efficient.

The introduction of new chip-based systems, estimated to cost $100 million to develop, could potentially generate $5 billion in revenue for Nvidia's customers. This is part of the company's strategy to demonstrate the return on investment in expensive AI hardware. Analysts estimate that Nvidia's data center division will generate $184 billion in revenue in the current fiscal year.

CEO Jensen Huang said CPX is the first chip specifically designed for AI models that operate on massive amounts of data, called tokens.

In the area of ​​code generation, systems based on the new chip are expected to be able to work not only on individual fragments, but on large-scale software projects. In terms of video processing, the new solution will be able to perform decoding, encoding, and data processing on a single chip.