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Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101
Multi-GPU Inference Strategies for Large Language Models: Tensor Parallelism 101

Tamara Weed, Dec, 17 2025

Tensor parallelism is the key technique for running large language models across multiple GPUs. Learn how it splits model layers to fit bigger models on smaller hardware, its real-world performance, and how to use it with modern frameworks.

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tensor parallelism multi-GPU inference LLM deployment model parallelism GPU optimization

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