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DockerSenior (7+ Years)1 Questions

Docker Interview Questions for Senior (7+ Years)

Curated for 7+ years experience. Expected salary: ₹20–40 LPA

Focus:Large-scale architectureStrategyCross-team collaborationAI product decisions
1
AdvancedGPU

How do you run GPU workloads with Docker?

Use NVIDIA Container Toolkit: install nvidia-docker2, then use --gpus all flag or in docker-compose: deploy: resources: reservations: devices: - capabilities: [gpu]. Base image: use nvidia/cuda:12.0-runtime-ubuntu22.04 instead of plain python. For AI inference, PyTorch detects GPU automatically. Monitor GPU usage inside container with nvidia-smi. For production, use dedicated GPU instances (AWS p3, g4 families).

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