In the rapidly evolving AI landscape, selecting the right AWS compute—CPUs, GPUs, or custom silicon like Inferentia and Trainium—can define your project's success. GPUs shine for training large models with NVIDIA H100 on P5 instances, offering 50-80% faster times, though costs hit $32/hour amid 2025 shortages. CPUs (e.g., C5) are budget-friendly at $0.10/hour for preprocessing, while custom silicon delivers 30-40% better price-performance for inference and training, with Inf2 and Trn2 optimizing for AI tasks.
With AWS pushing custom silicon and Graviton4 for sustainability, the future leans toward efficiency—custom chips may claim 20-30% market share by 2026. Test your workload with SageMaker, balancing cost and scale, and explore options on aws.amazon.com.
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