Why does Tensor Parallelism matter for AI governance?

Tensor parallelism is particularly important for inference of very large models — vLLM, TensorRT-LLM, and other serving frameworks use tensor parallelism to fit models larger than a single GPU's memory while preserving low latency. Typical tensor-parallel sizes are 2, 4, or 8 GPUs (matching a single NVLink-connected node). The