Nunchux AI Introduces VC-Attention: A Training-Free Low-Bit Attention Kernel That Speeds Up Video Diffusion Transformers (www.marktechpost.com)
<p>Nunchux AI has released VC-Attention, a training-free low-bit attention kernel built for video Diffusion Transformers (DiTs). It targets 2 problems at once: value quantization error and a slow softmax stage. Why Attention is the Video Bottleneck Video DiTs flatten a clip into 1 sequence of spatiotemporal tokens and run full self-attention at every layer. A […]</p>
<p>The post <a href="https://www.marktechpost.com/2026/09/16/nunchux-ai-introduces-vc-attention-a-training-free-low-bit-attention-kernel-that-speeds-up-video-diffusion-transformers/">Nunchux AI Introduces VC-Attention: A Training-Free Low-Bit Attention Kernel That Speeds Up Video Diffusion Transformers</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>
<p>The post <a href="https://www.marktechpost.com/2026/09/16/nunchux-ai-introduces-vc-attention-a-training-free-low-bit-attention-kernel-that-speeds-up-video-diffusion-transformers/">Nunchux AI Introduces VC-Attention: A Training-Free Low-Bit Attention Kernel That Speeds Up Video Diffusion Transformers</a> appeared first on <a href="https://www.marktechpost.com">MarkTechPost</a>.</p>
Comments