A co-design of streaming KV-cache reuse, diffusion-based speculative decoding, adaptive flow-matching step caching, and CUDA Graph/kernel fusion cuts VLA autonomous-driving inference latency 4.7x with roughly unchanged open-loop trajectory error.
DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving
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FlashDrive: Flash Vision-Language-Action Inference for Autonomous Driving
A co-design of streaming KV-cache reuse, diffusion-based speculative decoding, adaptive flow-matching step caching, and CUDA Graph/kernel fusion cuts VLA autonomous-driving inference latency 4.7x with roughly unchanged open-loop trajectory error.