09How do you optimize the cost of large-scale ML training and inference?▼mediumAmazonMicrosoftDatabricks2 repliesunlockedGPU spend is typically the largest line item in an AI org, and this question tests whether you reason in utilization rather than just capacity. The signal is wringing out 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 frequently run 60-90% cheaper, and they disappear with two minutes' notice. The savings hold only if a preemption costs you minutes rather than the whole run. Here is how to make that the case.Open full answer →
