GDN-Memory：具身世界模型的恒定占用联想记忆系统
基于 Gated DeltaNet 快权重构建的三层（物理/物体/行为）恒定占用记忆系统， 集成于 Genie Envisioner 的 Slow-Fast 推理流水线。总占用 256 KB，更新延迟 <1ms，联想检索精度 >85%。
GDN-Memory: Constant-Footprint Associative Memory for Embodied World Models
A three-layer (physical / object / behavioral) constant-memory system built on Gated DeltaNet fast weights, integrated into Genie Envisioner's Slow-Fast inference pipeline. 256 KB …
Efficient Inference Infrastructure for Deployable Vision-Language-Action Policies
Inference optimization stack for flow-matching VLA policies achieving sub-20ms latency on commodity hardware via speculative denoising and pipeline scheduling.