10What isolation and side-channel concerns arise when GPUs are shared between tenants?▼expertNewNVIDIAGoogleAmazon○ sign inGPUs were built for throughput, not mutual distrust. Each sharing mode makes a different promise about memory, and some make none.Open full answer →
20How do you run vulnerability and patch management for a GPU fleet used for training and inference?▼mediumNewNVIDIAGoogleAmazon◆ premiumGPU nodes carry layers most patch programmes forget: drivers, firmware, CUDA libraries and container toolkits. The scored answer inventories them, prioritises by exposure, and patches without breaking month-long training runs.Open full answer →
24You discover an infected host in your GPU fleet. What do you do?▼mediumNewCrowdStrikeGoogleAmazon◆ premiumGPU hosts attract cryptominers and hold valuable weights and data. The scored answer contains without destroying evidence, scopes across the fleet, and rebuilds rather than cleans.Open full answer →