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NVLink: Why GPU interconnection is crucial
Jun 01, 2026
APY EUROPE
When training a large model on multiple GPUs, these GPUs do not operate in isolation. They must constantly exchange gradients, activations, and sometimes parameters. The speed of these exchanges depends directly on the interconnection between the GPUs. In many cases, it is not only computing power that limits performance, but also the speed at which the GPUs communicate with each other.