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  2. Is It Too Late to Buy RTX Stock?

    www.aol.com/too-buy-rtx-stock-113700740.html

    After a difficult 2023, RTX (NYSE: RTX) stock is up a whopping 41% this year, resulting in a 17.7% return since the start of 2023. But despite the impressive year-to-date return, the bigger ...

  3. Why RTX Stock Is Flying Higher Today - AOL

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  4. Nvidia stock rises on AI spending, chip deal ahead of earnings

    www.aol.com/finance/nvidia-stock-rises-ai...

    Nvidia stock rose as much as 4% on Tuesday following a series of bullish notes from Wall Street analysts ahead of its earnings report.

  5. Video Super Resolution - Wikipedia

    en.wikipedia.org/wiki/Video_Super_Resolution

    The feature was first unveiled during CES 2023 as RTX Video Super Resolution. [3] The feature uses the on-board Tensor Cores to upscale browser video content in real time. [ 4 ] The feature is currently only available on RTX 30 and 40 series gpus with support for 20 series gpus coming in the future. [ 5 ]

  6. Nvidia RTX - Wikipedia

    en.wikipedia.org/wiki/Nvidia_RTX

    Nvidia RTX (also known as Nvidia GeForce RTX under the GeForce brand) is a professional visual computing platform created by Nvidia, primarily used in workstations for designing complex large-scale models in architecture and product design, scientific visualization, energy exploration, and film and video production, as well as being used in mainstream PCs for gaming.

  7. Raytheon - Wikipedia

    en.wikipedia.org/wiki/Raytheon

    The company was allowed to pay only half the fine to the government and to put half of the fine toward “remedial compliance measures to strengthen RTX’s compliance program.” [39] In October 2024, RTX agreed to pay nearly $1 billion to settle allegations of defrauding the U.S. Defense Department and bribing a Qatari military official ...

  8. RTX Stock Is Up 39% This Year. Can the Rally Keep Going? - AOL

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  9. Nvidia Tesla - Wikipedia

    en.wikipedia.org/wiki/Nvidia_Tesla

    Nvidia Tesla C2075. Offering computational power much greater than traditional microprocessors, the Tesla products targeted the high-performance computing market. [4] As of 2012, Nvidia Teslas power some of the world's fastest supercomputers, including Summit at Oak Ridge National Laboratory and Tianhe-1A, in Tianjin, China.