AWS recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025
We're excited to share that AWS has been recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025. In this evaluation of 13 providers, AWS received the highest score in the Strategy category.
AWS has been recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025. In a comprehensive evaluation of 13 providers, AWS achieved the highest score in the Strategy category. This recognition underscores AWS's dedication to providing flexible, cost-effective AI infrastructure that enables organizations to transition from AI experimentation to production-ready solutions at scale.
The growing significance of AI infrastructure is highlighted by the fact that it must support the entire lifecycle of AI workloads—from initial training and fine-tuning to high-volume inference. Forrester's assessment considers three key elements: workload-specific architecture tailored for training, fine-tuning, and inference, engineering efficiency through coordinated design across compute, network, storage, and orchestration, and sustainability and flexibility to manage power, cooling, and prevent vendor lock-in.
To evaluate AI infrastructure solutions, Forrester examined 13 providers based on a range of criteria, including current offering, strategy, and customer feedback. AWS secured the highest score achievable (5.00) in 16 criteria, covering aspects such as current offering, architecture, ecosystem, data management, training, development management and operations, fault tolerance, efficiency, security, and scalability.
AWS's approach to AI infrastructure emphasizes customer choice and cost efficiency. The company offers both proprietary AI chips, AWS Inferentia and AWS Trainium, alongside NVIDIA GPU instances. This dual approach allows customers to select the most appropriate compute solution for their specific workload while avoiding vendor lock-in.
As noted in the report, AWS's vision aims to provide customers with cost-efficient options for inference workloads through proprietary accelerators while still supporting high-end needs with NVIDIA GPUs. The roadmap further demonstrates AWS's commitment to continued investment in silicon development and deeper integration with services like Amazon SageMaker.
Notably, AWS partners closely with leading model developers, granting customers direct access to a diverse array of foundation models. Forrester also highlighted AWS's suitability for companies with high-volume or elastic inference workloads that prioritize cost efficiency while still requiring access to GPUs for peak performance scenarios.
For those interested in exploring AWS's AI infrastructure offerings, resources include purpose-built chips and accelerated compute options, as well as Amazon Bedrock, which enables rapid development, customization, and deployment of generative AI applications through fully managed foundation models. The full report provides a detailed evaluation of AWS's performance across all 13 providers, as assessed by Forrester.
Written by urgent.news from AWS Machine Learning's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
