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    d-Matrix announces Nvidia partnership to connect Raptor XPUs to MGX systems

    d-Matrix says its next-generation Raptor XPUs will feature 3D-stacked DRAM and promises ultra-low-latency AI inference. Customers will be able to run Raptor racks independently or alongside Nvidia GPUs, it says.

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    TLDR

    d-Matrix announced a partnership with Nvidia, saying its next-generation Raptor XPUs will plug directly into Nvidia MGX rack-scale systems through NVLink Fusion. The company says the XPUs will use 3D-stacked DRAM and promises ultra-low-latency inference—generating outputs from trained AI models—for premium token services. It says customers will be able to run a Raptor rack on its own or alongside Nvidia GPUs, matching compute to different phases of a workload.

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    2 Sources, first seen 19d ago

    Combined views

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    2 Sources, first seen 19d ago

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    2 Sources

    @sidshethBig news: @dMatrix_AI is partnering with @nvidia. Our next-gen Raptor XPUs with our path-breaking 3D DRAM stacked memory will plug directly into NVIDIA MGX rack-scale systems via NVIDIA NVLink Fusion — delivering ultra-low latency inference for premium token services. Inference is an infinite opportunity, and it will demand a diversity of compute. Customers will be able to run a Raptor rack standalone, or alongside NVIDIA GPUs — matching the best compute to each phase of the workload. Grateful to @JensenHuang and the NVIDIA team for building an open ecosystem that makes this possible. Let's go build the future! 🔗 https://www.d-matrix.ai/announcements/d-matrix-rackscale-nvidia/
    @iaindunningI think @dMatrix_AI is making some smart moves, not talked enough about.

    2 Sources

    @sidshethBig news: @dMatrix_AI is partnering with @nvidia. Our next-gen Raptor XPUs with our path-breaking 3D DRAM stacked memory will plug directly into NVIDIA MGX rack-scale systems via NVIDIA NVLink Fusion — delivering ultra-low latency inference for premium token services. Inference is an infinite opportunity, and it will demand a diversity of compute. Customers will be able to run a Raptor rack standalone, or alongside NVIDIA GPUs — matching the best compute to each phase of the workload. Grateful to @JensenHuang and the NVIDIA team for building an open ecosystem that makes this possible. Let's go build the future! 🔗 https://www.d-matrix.ai/announcements/d-matrix-rackscale-nvidia/
    @iaindunningI think @dMatrix_AI is making some smart moves, not talked enough about.