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    Home»How-To»This wild RTX 5080 packs a hidden SSD and your AI wants to become a powerhouse
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    This wild RTX 5080 packs a hidden SSD and your AI wants to become a powerhouse

    PineapplesUpdateBy PineapplesUpdateJune 18, 2025No Comments3 Mins Read
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    This wild RTX 5080 packs a hidden SSD and your AI wants to become a powerhouse
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    This wild RTX 5080 packs a hidden SSD and your AI wants to become a powerhouse


    • Asus RTX 5080 now doubles AI hardware and surprisingly cool as SSD Bay
    • PCIE lane is not yet for GPU, thanks to Asus’s Hybrid Hardware Office
    • Asus is developing multi-LM, so AI gods can turn off the model directly on SSD

    The unusual geforce RTX 5080 GPU was seen with the SSD slot the first a few weeks ago, no longer a hardware asymmetry.

    Asus North America has now confirmed Proart RTX 5080 SSD version is a real product.

    As it may be unusual, the decision to connect high-performance graphics processing with solid-state storage is part of a comprehensive plan associated with artificial intelligence and local model development.

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    A hybrid GPU-storage design targets AI development

    Despite a release date and the rest of the shipping configuration, some technical details have started emerging with some unanswered questions.

    One of the biggest surprises is 90 degrees Rotated GPU layout – ASUS modified the printed circuit board (PCB) design to mount the GPU perpendicular for general orientation.

    It is not a configuration found in another RTX 5080 model, which suggests a custom approach that adjusts SSD and improves airflow.

    Asus claims that this layout helps in benefiting SSD, “the airflow provided by the card fans, although SSD is not in direct contact with the main heatsink.

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    Instead it is cooled through a secondary heatcink and inactive airflow, allegedly SSD is placed on a motherboard to place approximately 10 ° C coolers compared to a specific M.2 drive.

    SSD integration also exploits PCIe domination, which means that unused PCI express lane is re -assigned to support the drive.

    The company has previously applied this approach to the RTX 4060 series card, which does not fully saturate the PCIE interface, leaving enough bandwidth for the M.2 slot.

    Now, with the RTX 5080 project version, the idea is refined to suit high-end AI workflows, although it introduces trade-bands, GPU may not always have access to all PCIE lanes, potentially limit the peak performance under some workloads.

    Perhaps the most important revelation lies in Asus’s software ambitions – the company is developing a device called multi -LM, which is aimed at developers working with large language models.

    Asus says, this device “will allow AI developers to unload the model for direct storage, potentially enables the development of local models, without the need for a slow memory swap to the system drive.”

    This will be interested for the best LLM seekers for coding, and will keep the RTX 5080 SSD version as more than only one gaming card; It can become one of the best AI devices for local estimates and prototypes.

    Asus has only issued a single render of the card and does not confirm the performance matrix or availability.

    The question whether this concept distributes the benefit of the meaningful real world or just adds complication.

    Through Videocardz

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