21Spark executors sit Pending for hours because the default scheduler fragments them across nodes. Can you bring in a different scheduler?▼mediumNewDatabricksNVIDIAFlipkart◆ premiumMultiple schedulers are supported, rarely understood, and dangerous in a specific way. The strong answer names the deadlock that gang scheduling fixes and the capacity race it can open.Open full answer →
03A multi-node training job sits Pending forever while the cluster shows free GPUs. What is happening?▼hardNewNVIDIAMetaDatabricks2 repliesunlockedThe default scheduler places pods one at a time, which is exactly wrong for a job that needs all sixteen or none. Two half-placed jobs can hold each other's GPUs forever without either ever starting.Open full answer →