Originally published at: https://developer.nvidia.com/blog/turbocharge-llm-training-across-long-haul-data-center-networks-with-nvidia-nemo-framework/
Multi-data center training is becoming essential for AI factories as pretraining scaling fuels the creation of even larger models, leading the demand for computing performance to outpace the capabilities of a single facility. By distributing workloads across multiple data centers, organizations can overcome limitations in power, cooling, and space, enabling the training of even larger,…