Memory Deep Dive: Optimizing AWS Graviton Performance Across Generations

Memory access patterns are critical for AWS Graviton workload performance, yet many developers overlook cache efficiency and NUMA topology when optimizing code. This comprehensive guide enables you to profile your Graviton instances—from Graviton2 to Graviton4—using industry-standard tools, revealing exactly where memory bottlenecks occur in your applications. With concrete benchmarking data across generations, you can make architecture-aware optimization decisions that yield substantial performance gains for memory-bound workloads.