Zyphra Introduces Tensor and Sequence Parallelism (TSP): A Hardware-Aware Training and Inference Strategy That Delivers 2.6x Throughput Over Match TP+SP Baselines
Training and rendering large scale transformer models is a memory management problem. Every GPU in the collection has a fixed amount of VRAM, and as the model numbers and core length increase, developers always have to make changes in how to distribute the work across the hardware. A a new way from Zyphrait was called … Read more