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Intel & AMD Work On APX, The Next Major Step In The Evolution of x86 Architectures, Adds More Performance Without Requiring More Die Area & Power

1 May 2026 at 18:35

Intel & AMD Work On APX, The Next Major Step In The Evolution of x86 Architectures, Adds More Performance Without Requiring More Die Area & Power

APX or Advanced Performance Extensions are the next evolution of x86 as Intel & AMD co-develop new standards for the architecture. APX Expands the x86 Instruction Set, Bringing Faster Performance & New Features That Will Benefit Both Intel and AMD's Next-Gen Chips Two days ago, we talked about ACE (AI Compute Extensions), which is a unified instruction set that aims to increase matrix-multiply performance for next-gen x86 chips. ACE is just one part of the grander scheme in which both Intel and AMD are working together to evolve the x86 architecture under a single unified framework through the recently established […]

Read full article at https://wccftech.com/intel-amd-work-on-apx-the-next-major-step-in-the-evolution-of-x86-architectures/

AMD & Intel’s ACE Partnership Significantly Boosts AI Performance As The β€œStandard Matrix-Acceleration Architecture” For x86 Chips

29 April 2026 at 17:25

An Intel and AMD branded processor displays 'x86' on its surface, surrounded by a circuit board.

ACE or AI Compute Extensions aim to revolutionize AI by bringing faster matrix-multiply performance as Intel & AMD work toward a unified path for x86 architectures. ACE Is Part of Intel and AMD's Unified x86 Strategy, Driving The Ecosystem In The AI Era With Faster Matrix Acceleration Last year, Intel and AMD partnered to strengthen the x86 ecosystem through their "x86 Ecosystem Advisory Group" initiative. The plan was to offer a standardized set of features across architectures in a bid to make x86 accessible, scalable, and compatible with future requirements. Four key features were announced: FRED, AVX10, ChkTag, and ACE. […]

Read full article at https://wccftech.com/amd-intel-ace-partnership-boosts-ai-performance-standard-matrix-acceleration-architecture-for-x86/

China’s LineShine Supercomputer To Hit 2 ExaFlops With 47,000 CPUs and Zero Reliance on Foreign Chips

27 April 2026 at 16:20

China Unveils Its 2 ExaFlops Supercomputer, Houses 47,000 CPUs Including Huawei Kunpeng & The Worlds Largest Liquid Cooling System 1

China has unveiled its new supercomputer, called LineShine, in Shenzen, which will deliver 2 ExaFlops of compute performance. The Chinese LineShine Supercomputer Is All Set To Become The Fastest In The World, Exceeding 2 ExaFlops During a conference at the National Supercomputing Center in Shenzhen today, the fastest domestic supercomputer project was announced. Known as LineShine, the Supercomputer will be built in two phases and will deliver over 2 ExaFlops of compute. Currently, the world's fastest supercomputer is the AMD-based El Capitan, which has a peak compute of 2.8 Exaflops. Coming to the specifications, the LineShine Supercomputer is purely a […]

Read full article at https://wccftech.com/chinas-lineshine-supercomputer-2-exaflops-47000-cpus-zero-reliance-on-foreign-chips/

NVIDIA Ends ARM Acquisition Chapter; Debate Emerges Over Future CPU Strategy in the Agentic AI Era

18 February 2026 at 16:29

A person holds an NVIDIA compute chip with visible circuitry details against a dark background.

NVIDIA has sold off its 'last bits' of stake in ARM this week, coming a long way from actually acquiring the company a few years ago. NVIDIA's x86 Deal With Intel Is an 'Indirect Indication' That ARM Alone Cannot Handle the Agentic AI Buildup NVIDIA's partnership with ARM has been pivotal in the modern-day AI buildout, as the company's CPU architecture has enabled it to deliver impressive offerings under the Grace Hopper and Blackwell lineups. More importantly, ARM will also play an essential role in NVIDIA's upcoming Vera CPUs, as the importance of such processing units has been rising significantly. […]

Read full article at https://wccftech.com/nvidia-closes-the-arm-chapter-by-selling-its-remaining-stake/

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