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Tensor and Sequence Parallelism 2026: 2.6x Faster AI Training with Memory Efficiency
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Tensor and Sequence Parallelism 2026: 2.6x Faster AI Training with Memory Efficiency

Zyphra introduces Tensor and Sequence Parallelism (TSP), a hardware-aware parallelism strategy that reduces memory overhead and delivers 2.6x higher throughput than traditional tensor and sequence parallelism baselines. The innovation folds parallelism axes to optimize GPU utilization during training and inference.

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