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Intel adds day-zero support for Meta’s Muse Spark Open

The company announced quantization support to run the 816-billion-parameter open-weight model on Xeon processors and its upcoming GPU D-series.

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Intel announced on 15 October that it had day-zero support for running Meta’s open-weight Muse Spark Open model on Xeon processors and its not-yet-released GPU D-series. The company said it used low-bit quantization for CPU and GPU versions and had run the GPU version across four D-series cards.

Intel describes the model as having 816 billion parameters and a one-million-token context window, and says it is aimed at coding and multimodal workflows. The company says GPU D-series is designed with 160 GB of memory per card, but describes the platform as upcoming. Intel did not publish an independent performance evaluation.

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Timeline

Intel adds day-zero support for Meta’s Muse Spark Open

Intel platform support for Meta’s Muse Spark Open

  1. · Occurred

    Announced model and accelerator

    INT4 quantization on Xeon and MXFP4 support on upcoming GPU D-series for Muse Spark Open; Intel reported a four-GPU run.

Methodology

Model and hardware specifications are from Intel’s announcement; this is not an independent performance test, and GPU D-series has not yet launched.

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  • United States · Place role: Coverage · Place type: Country or area · Location precision: Regional
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Technology

Meta releases Muse Spark Open model weights

Meta released weights for Muse Spark Open, a multimodal model it describes as having 816 billion total parameters and about 42 billion active per token.

Meta AI Research1 min read Data included