Optimizing cost for building AI models with Amazon EC2 and SageMaker AI

This article provides comprehensive guidance on optimizing costs for building AI models using Amazon EC2 and SageMaker AI, focusing on cost-efficient strategies for generative AI workloads.

• Amazon EC2 Cost Optimization Strategies:
  • Select optimal instance types using AWS Compute Optimizer
  • Use On-Demand Capacity Reservations (ODCRs) strategically
  • Implement instance scheduling to reduce costs
  • Utilize Savings Plans for up to 72% cost reduction
  • Track GPU utilization to maximize resource efficiency
• Amazon SageMaker AI Cost Optimization Techniques:
  • Rightsize instances based on workload requirements
  • Choose models carefully to balance capability and cost
  • Leverage Machine Learning Savings Plans
  • Use Spot Instances for training to reduce costs by up to 90%
  • Select appropriate inference strategies (real-time, serverless, batch)

The key is aligning optimization strategies with specific use cases and business requirements to achieve cost-effective AI infrastructure.