This is an honest comparison from someone who runs GPU containers in production daily. Both Docker and Podman are excellent container runtimes. But for AI/ML infrastructure in 2026, Docker has pulled ahead in ways that matter if you're building inference services, training pipelines, or agentic AI workflows. I maintain keda-gpu-scaler (GPU autoscaling for KEDA), otel-gpu-receiver (GPU observability for OpenTelemetry), and contributed GPU NUMA topology scheduling to Volcano . All of this runs in