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TOOLING Optimizing Muse Spark Open on TPU v7 with SGLang-TorchTPU

3d ago · PyTorch Blog →

TL;DR We serve Meta’s Muse Spark Open, an 816B-parameter mixture-of-experts model, on a single TPU v7 host of four chips, with SGLang…

Why is this ranked here?

Source tier 1: +25
Category TOOLING: +5 (tutorial/explainer)
Other adjustment (same-source burst decay, or scored under an earlier weighting): −10
Base score: 20
Velocity (0 corroborating sources): +0
Age decay (3d since published): −20
Effective score right now: 0