By TheStaff 
LLM inference is highly resource-intensive, requiring substantial memory and computational power. To address this, various model parallelism strategies distribute workloads across multiple GPUs, reducing memory constraints and speeding up inference. Tensor parallelism (TP) is a widely used technique that partitions weights and activations across GPUs, enabling them to process a single request collaboratively. Unlike data […]
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