← Tuesday, October 6, 2026InferencePaper
RealtimeWAM overlaps video and action inference and generates actions in one step
RealtimeWAM combines one-step action generation, teacher-anchored consistency distillation, and asynchronous cross-expert pipelining with shared video KV cache. These techniques target iteration and waiting overheads in action-model inference.
- What
- RealtimeWAM is a World Action Model that generates actions in one step and runs video and action inference asynchronously.
- Method
- Teacher-Anchored Consistency Distillation supervises one-step actions; Cross-Expert Wavefront Pipelining shares video KV-cache blocks between experts.
- Why it matters
- Reducing action iterations and expert waiting targets the inference-efficiency bottlenecks of WAMs.
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