Zyphra's Tree Attention Enhances GPU Efficiency, 8x Faster

Aug 10, 2024, 07:09 PM

Zyphra, an AI lab, has developed a new algorithm called Tree Attention, which is designed for topology-aware decoding in long-context attention on GPU clusters. This approach is noted for its efficiency, requiring less communication and memory than the existing Ring Attention method. Tree Attention enables more efficient scaling to million token sequence lengths and allows for cross-device decoding to be performed asymptotically faster, up to eight times faster than alternative approaches. This development is particularly significant for parallelizing attention computation across multiple GPUs, making it a noteworthy advancement in the field of AI.