AI Infrastructure Cost Optimization
AI infrastructure bills grow fast — GPU instances are 3-10x more expensive than CPU. We audit your ML infrastructure, identify waste (idle GPUs, overprovisioned instances, missed spot opportunities), and implement optimizations that typically cut costs 40-60% while maintaining the same training throughput and inference latency.
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Cost Audit & Waste Identification
We analyze your GPU utilization across the fleet — most organizations find 40-60% average utilization, meaning half the spend is waste. Idle GPU instances running 24/7 when training only happens during business hours. Oversized instances where a T4 would suffice but an A100 is provisioned. Reserved instances that don't match actual usage patterns. We map every dollar to actual utilization.
Spot & Preemptible Instance Strategy
Training workloads with checkpointing can safely run on spot instances — 60-70% cheaper than on-demand. We implement multi-zone spot allocation, automatic fallback to on-demand when spot capacity is unavailable, and checkpoint frequency tuned to spot interruption rates. For managed services (SageMaker, Vertex AI), managed spot training handles the orchestration. The result: same training, fraction of the cost.
Right-Sizing & Scheduling
Many inference workloads run on GPUs they don't need. We profile actual GPU memory and compute usage, then recommend right-sized instances — T4 instead of A100 for small model inference, or CPU inference for models where latency permits. GPU scheduling policies ensure training jobs run during off-peak hours on shared hardware. Time-based autoscaling scales inference endpoints down during low-traffic hours.
Ongoing Cost Monitoring
Kubecost dashboards break down GPU spend per team, per model, per environment. Automated alerts fire when per-job costs exceed thresholds or when GPU utilization drops below acceptable levels. Monthly cost reports highlight optimization opportunities. We set up the monitoring and alerting — you keep costs under control after we hand off.
Why Anubiz Engineering
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Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.