Meta overhauled the inference engine for Muse Spark 1.3, combining sub-quadratic linear attention with lossless parallel diffusion decoding. The upgrade delivers a 3.8x throughput increase and 50% memory reduction during long-horizon agent coding workflows.

Key Takeaways

  • ✓Pairs linear attention with diffusion decoding to achieve 3.8x generation throughput
  • ✓Cuts VRAM footprints by half, enabling massive context generation on consumer GPUs
  • ✓Cements Meta open-weights dominance across edge and high-concurrency developer systems
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