An intermediate to bring Kimi K2's trillions of model parameters to a second

The new Kimi open-source medium checkpoint-engine, capable of completing in 20 seconds the upgrade of the trillion-billion parametric model on thousands of GPUs, has significantly enhanced learning efficiency; the technology uses a hybrid co-location structure, which allows for the broadcast and reloading of parameters in parallel processes through the state of the distributed point engine management; and the system design supports the complete decoupling of the training and reasoning engine, using a line-by-barrel approach to prevent single-point failure to improve stability。