Google DeepMind details Decoupled DiLoCo for more resilient model training

Google DeepMind details Decoupled DiLoCo for more resilient model training

This matters because the next wave of AI competition depends as much on training infrastructure as on application features. If large models can be trained more reliably across distributed compute islands, labs gain a practical path to scaling frontier systems without tying every step to a single tightly synchronized cluster.