According to AWS Machine Learning, What Forrester evaluated The Forrester Wave: AI Infrastructure Solutions, Q4 2025 assessed 13 providers across detailed criteria spanning current offering, strategy, and customer feedback.
According to AWS Machine Learning, According to Forrester’s evaluation, successful AI infrastructure requires three elements: Workload-specific architecture tailored for training, fine-tuning, and inference rather than generic computational needs.
According to AWS Machine Learning, The growing importance of AI infrastructure As AI adoption accelerates, you need infrastructure that supports the full lifecycle of AI workloads—from training and fine-tuning to inference at scale.
According to AWS Machine Learning, As Forrester noted in the report: “AWS’ vision is to offer both proprietary accelerators and NVIDIA GPUs, giving customers cost-efficient options for inference workloads without hardware lock-in.
According to AWS Machine Learning, We believe this recognition reflects our commitment to delivering flexible, cost-efficient AI infrastructure that helps you move from experimentation to production-ready AI at scale.
Sources
- [AWS recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025](https://aws.amazon.com/blogs/machine-learning/aws-recognized-as-a-leader-in-the-forrester-wave-ai-infrastructure-solutions-q4-2025/)