Container Orchestration for AI Workloads
deployment
kubernetesdockergpu

Container Orchestration for AI Workloads

GPU-Aware Kubernetes

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Jan 25, 2026/deployment/1 min read

GPU-aware scheduling, model preloading, and cold-start mitigation on hybrid Kubernetes.

AI inference needs GPUs. Web serving does not. Running both on the same cluster means mixed node pools and custom scheduling.

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Our Approach

  • Mixed Node Pools: CPU for web, GPU for inference, with node affinity
  • Model Preloading: Init containers cache model weights, eliminating cold starts
  • Spot Instances: 60-70% cost savings with graceful eviction migration
  • Request Queuing: Custom queue smooths traffic spikes
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Economics

T4 GPUs 24/7: $2,400/month per node. With spot + scheduling: $680/month — 72% reduction.

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Back to RadarJan 25, 2026 / VIBE WING