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  2. Intel Xe - Wikipedia

    en.wikipedia.org/wiki/Intel_Xe

    Intel Arc is a high-performance discrete graphics line optimized for gaming. This will compete directly with the Radeon and GeForce lines of graphics processing units. The first generation (codenamed "Alchemist"), was developed under the "DG2" name and is based on the Xe-HPG architecture.

  3. Alder Lake - Wikipedia

    en.wikipedia.org/wiki/Alder_Lake

    Alder Lake's CPU topology has performance implications, especially for gaming environments where the developers are not used to NUMA setups. Microsoft added support for Intel Thread Director (ITD) in Windows 11. [18] [35] A wide variety of inputs, including whether a process' window is in the foreground, feeds into the ITD. [36]

  4. Arrow Lake (microprocessor) - Wikipedia

    en.wikipedia.org/wiki/Arrow_Lake_(microprocessor)

    Arrow Lake desktop CPUs integrated Thunderbolt 4 and USB4 in the CPU, which allowed it to not waste PCIe 3 lanes and use simple retimers instead. The chipset also integrated USB 3.2 2x2, and is Thunderbolt 5 ready if used with a discrete board. [3] Integrated GPU added HDMI 2.1 FRL 48 gbit/s (just like mobile Meteor Lake) and variable refresh rate.

  5. Fujitsu A64FX - Wikipedia

    en.wikipedia.org/wiki/Fujitsu_A64FX

    The processor also integrates a TofuD fabric controller with 10 ports implemented as 20 lanes of high-speed 28 Gbit/s to connect multiple nodes in a cluster. [1] The reported transistor count is about 8.8 billion. [4] Each A64FX processor has four NUMA nodes, with each NUMA node having 12 compute cores, for a total of 48 cores per processor.

  6. Epyc - Wikipedia

    en.wikipedia.org/wiki/Epyc

    As of November 2023, it is the most powerful supercomputer in the world according to the TOP500, with a peak performance of over 1.6 exaFLOPS. In November 2021, AMD detailed the upcoming generations of Epyc, and unveiled the new LGA-6096 SP5 socket that would support the new generations of Epyc chips.

  7. Computer performance by orders of magnitude - Wikipedia

    en.wikipedia.org/wiki/Computer_performance_by...

    2×10 15: Nvidia DGX-2 a 2 Petaflop Machine Learning system (the newer DGX A100 has 5 Petaflop performance) 11.5×10 15: Google TPU pod containing 64 second-generation TPUs, May 2017 [9] 17.17×10 15: IBM Sequoia's LINPACK performance, June 2013 [10] 20×10 15: roughly the hardware-equivalent of the human brain according to Ray Kurzweil.