AMD Unveils New Artificial Intelligence PC Chips, Targets Intel at Computex

Advanced Micro Devices introduced new Artificial Intelligence-driven PC processors at Computex, aiming to gain market share from Intel amid industry shifts.

Advanced Micro Devices (AMD) unveiled its latest lineup of processors designed for Artificial Intelligence-powered personal computers and workstations at the Computex trade show in Taiwan. These new chips, including the Ryzen AI Pro 300 series processor, are poised to accelerate Artificial Intelligence capabilities on enterprise and commercial PCs. Asus, in partnership with AMD, introduced the Asus Expert P Series Copilot+ PCs leveraging these new processors, highlighting AMD´s efforts to boost its presence in the PC market currently dominated by Intel.

AMD asserts that the new PCs deliver over 50 TOPS (trillions of operations per second) of neural processing unit performance, offering faster and more efficient Artificial Intelligence productivity for enterprises. These systems are also engineered to support the next generation of Microsoft Copilot+ experiences, putting AMD in direct competition with Intel’s own Artificial Intelligence PC initiatives. On the graphics front, AMD displayed its new Radeon RX 9060 XT graphics cards for advanced gaming, as well as high-end workstation solutions featuring Ryzen Threadripper processors and Radeon graphics cards.

Despite these ambitious moves, both AMD and Intel stocks declined on Wednesday, with AMD closing down 1.3% and Intel down 2.7%. AMD´s share of the x86 PC CPU market rose to 24.4% in the first quarter, while Intel’s share slipped to 75.6%, according to Mercury Research. Meanwhile, Intel announced at Computex new graphics processing units and Artificial Intelligence accelerators, and is reportedly considering divestment of its network and edge business after a recent deal to sell a majority stake in its Altera unit. Notably, AMD´s and Intel´s stock relative strength ratings remain in the bottom quartile for the past year, reflecting competitive and market pressures in the semiconductor sector.

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Key large language model papers from October 13 to 18

A roundup of notable large language model research from the third week of October 2025, spanning generative modeling, multimodal embeddings, and evaluation. Highlights include a diffusion transformer built on representation autoencoders and a language-centric scaling law for embeddings.

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