09How do you optimize the cost of large-scale ML training and inference?▼mediumAmazonMicrosoftDatabricks2 repliesunlockedGPU spend is usually the biggest line item in an AI org, and this question checks whether you think in utilization, not just capacity. The signal is squeezing per-unit cost (utilization, right-sizing, spot, quantization) before scaling out.Open full answer →
39How do you cut training cost with spot/preemptible GPUs without losing days of work to a preemption?▼hardAWSGoogleDatabricks1 replies◆ premiumSpot GPUs are often 60-90% cheaper, and they vanish with two minutes' warning. The savings are only real if a preemption costs you minutes, not the run. Here is how to make that true.Open full answer →
