News/Hardware
Worth readingHardware·IncrementalOfficialstableUpdated Oct 31·Updated 28×·Event Oct 19, 2026·First seen Oct 28

Meta Releases Muse Spark Multimodal Models and Details Prometheus Supercluster Architecture

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On October 15, 2026, Meta released the Muse Spark multimodal MoE model, followed by the release of technical documentation for its Prometheus gigawatt-scale supercluster on October 19, 2026.

It reveals the extreme engineering required to sustain 1-million-GPU arrays, including new liquid-cooling and networking standards.

AILookup take

Meta's openness about infrastructure is more valuable than the Muse Spark model itself. They are effectively setting the open standard for physical AI clusters to ensure they aren't beholden to proprietary vendor designs.

Who cares
hardware engineerssystem architectsMLOps teams
Watch next

Adoption of the 'Thin Orchestrator' pattern in other agent frameworks to improve reliability.

Also covers

  • Meta Launches First Phase of Prometheus Supercluster for Muse AIOn October 19, 2026, Meta officially announced the completion of the first phase of 'Prometheus,' a gigawatt-scale supercomputing cluster aimed at supporting 1-million-GPU training scales for models like Muse.
Details
  • Signifies an industry shift toward utility-scale AI infrastructure where power and cooling are as critical as silicon.
  • Showcases the adoption of liquid-cooling technologies (IcePack/IceCube) to manage thermal density for 1-million-GPU arrays.
  • Provides a architectural blueprint for scaling future foundational models like the 'Muse' series.
Consensus

All technical details regarding power capacity and cooling innovations originate from Meta's official engineering blog.

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