vLLM and Inferact Optimize Muse Spark Open Serving

vLLM detailed cross-hardware optimizations for Muse Spark Open, reaching 960 tokens/s on TPU, while Inferact trained the DSpark speculative decoding draft model that proposes up to 7 draft tokens per step.

2026-10-16 ~ 2026-10-16 · 2 related posts

• DSpark draft model for Muse Spark Open proposes 7 tokens per pass with 23-42% acceptance — vllm_project · 2026-10-16
• vLLM details Muse Spark Open cross-hardware stack: 960 tokens/sec on 8 TPU v7 chips — vllm_project · 2026-10-16