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FlashRT-PAI: Fast Kernels Are Not Fast Pipelines for Physical AI Inference

Vision-language-action (VLA), video-action (VA), and world action models (WAMs) form the backbone of modern physical AI systems, yet their real-time single-batch inference remains a defining bottleneck. Latency is dominated not by individual kernel computatio...

Source: arXiv · arxiv.org Published 2026-10-17T00:35:58+00:00 Detected 2026-10-20T01:21:35+00:00
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Vision-language-action (VLA), video-action (VA), and world action models (WAMs) form the backbone of modern physical AI systems, yet their real-time single-batch inference remains a defining bottleneck. Latency is dominated not by individual kernel computatio...

Vision-language-action (VLA), video-action (VA), and world action models (WAMs) form the backbone of modern physical AI systems, yet their real-time single-batch inference remains a defining bottleneck. Latency is dominated not by individual kernel computation, but by system-level overhead: thousands of short...

Signal Strength 95% Technical label WATCH Public Interest 31 Category RESEARCH Reader Depth TECHNICAL

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Public Interest components
Recognizable Entity Score 0 Practical Impact Score 36 Novelty Interest Score 72 Consequence Score 18 Curiosity Score 16 Shareability Score 47

VQV surfaced this signal because it is recent, relevant to LLM Inference, connected to arXiv.