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VisitHow many GPUs will be required for a large-scale AI task using Zyphra's Tree Attention algorithm by end of 2024?
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Technical documentation or performance benchmarks published by Zyphra or other research institutions
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.
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