@zhijianliu_: Reasoning VLAs can think. They just can't think fast. Until now. Introducing FlashDrive 716 ms → 159 ms on RTX PRO 6000…

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Summary

FlashDrive reduces reasoning vision-language-action model inference latency from 716 ms to 159 ms on RTX PRO 6000—up to 5.7× faster—with zero accuracy loss, enabling real-time autonomous applications.

Reasoning VLAs can think. They just can't think fast. Until now. Introducing FlashDrive 716 ms → 159 ms on RTX PRO 6000 (up to 5.7×) Zero accuracy loss FlashDrive = streaming inference + DFlash speculative reasoning + ParoQuant W4A8 Real-time reasoning for autonomous
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Reasoning VLAs can think. They just can’t think fast. Until now. Introducing FlashDrive 716 ms → 159 ms on RTX PRO 6000 (up to 5.7×) Zero accuracy loss FlashDrive = streaming inference + DFlash speculative reasoning + ParoQuant W4A8 Real-time reasoning for autonomous

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FlashDrive: Flash Vision-Language-Action Inference for Autonomous Driving

arXiv cs.AI

FlashDrive is an algorithm-system co-design framework that cuts the inference latency of vision-language-action models for autonomous driving by 4.7× (from 717 ms to 151 ms on a single GPU) using streaming KV-cache reuse, non-autoregressive diffusion drafting, and adaptive step caching, with negligible accuracy loss.