Taplio - Build a growth routine on LinkedIn
Mini toolsFlashDrive
By Z Lab
FlashDrive is an algorithm-system co-design framework for speeding up autonomous-driving VLA models that combine explicit reasoning with trajectory prediction. Z Lab presents it as a way to overcome the latency bottlenecks of models like Alpamayo 1.5 by optimizing encode, prefill, decode, and action stages together. Its main techniques include streaming inference with KV-cache reuse, speculative reasoning with DFlash, adaptive-step flow matching, W4A8 quantization using ParoQuant, and system-level CUDA graph and kernel-fusion optimizations. The project reports a 4.5x speedup on RTX PRO 6000 with negligible accuracy loss and transfer across Jetson Thor and multiple RTX GPUs.
Multimodal
Gen 3
Overview
FlashDrive is Z Lab’s real-time inference framework for vision-language-action autonomous driving models. It is designed to make reasoning-based end-to-end driving practical by accelerating all major inference stages, reducing latency from 716 ms to 159 ms on Alpamayo 1.5 while keeping accuracy nearly unchanged.
Tools using FlashDrive
No tools found for this model yet.
Last updated: April 20, 2026
