NVIDIA announced an innovative processor for AI Rubin

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NVIDIA recently announced the release of its next-generation artificial intelligence chip platform called Rubin. According to Reuters, this new family of chips will be released in 2026, which was announced by NVIDIA CEO Jensen Huang during a speech at the Computex exhibition held at the National Taiwan University in Taipei. The Rubin platform is NVIDIA’s latest advancement in artificial intelligence hardware. It contains new graphics processing units (GPUs), central processing units (CPUs), and network chips.

The new CPU, dubbed Versa, and next-generation GPUs are designed to run AI applications with high-speed memory. This memory will be supplied by such well-known manufacturers as SK Hynix, Micron and Samsung. The introduction of the Rubin platform is part of NVIDIA’s goal to advance AI technology and meet the growing demand for high-performance AI hardware.

By accelerating the release schedule from every two years to annual, NVIDIA aims to maintain its dominance in the AI ​​chip market, which it currently leads with an 80% market share. Jensen Huang also talked about the change in NVIDIA’s release schedule, emphasizing that the company now plans to release a new family of AI chips every year.

In addition to the Rubin platform, NVIDIA is also making strides in integrating AI capabilities into gaming laptops. The Verge reports that NVIDIA and AMD are planning to release laptops with AI Copilot Plus features, using Microsoft’s latest advances in artificial intelligence for devices based on Qualcomm processors. Brands such as ASUS and MSI will release RTX AI PC notebooks equipped with GeForce RTX 4070 GPUs and energy-efficient SoCs designed for Windows 11 AI PC features, NVIDIA announced in a recent blog post.

These laptops will receive a free update to include Copilot+ capabilities as soon as it becomes available. In June, NVIDIA will also release the RTX AI Toolkit, which includes tools and SDKs for model tuning, optimization, and deployment. This toolkit will allow developers to optimize models like Meta’s Llama 2 to run more efficiently with lower VRAM requirements and improved performance.

NVIDIA is also working closely with Microsoft to develop the underlying AI models integrated into Windows 11. This partnership aims to provide application developers with easy API access to GPU-accelerated small language models (SLMs) that provide search-augmented generation (RAG) capabilities ), running directly on devices running on Windows Copilot Runtime.

NVIDIA’s strategic moves promise to have a significant impact on the AI ​​chip market. A large market share and innovative developments put the company in an advantageous position to influence the direction of AI hardware development.

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