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AWS Recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025
AWS has been recognized as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025, with the highest score in the Strategy category, reflecting its commitment to flexible and cost-efficient AI infrastructure.
AS1 NewsSource: aws.amazon.com
AWS has been acknowledged as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025, based on an evaluation of 13 providers. The company received the highest scores in 16 criteria, including current offerings, strategy, and customer feedback. This recognition underscores AWS's focus on delivering AI infrastructure that supports the entire AI workload lifecycle, from training and fine-tuning to inference at scale.
The evaluation emphasized the importance of workload-specific architecture, engineering efficiency, and sustainability in AI infrastructure. AWS's approach includes offering proprietary AI chips, AWS Inferentia and AWS Trainium, alongside NVIDIA GPU instances, providing customers with flexible options tailored to their workload needs. This strategy aims to prevent vendor lock-in and optimize performance and cost.
According to the report, AWS's vision is to provide both proprietary accelerators and NVIDIA GPUs, catering to a range of AI workloads from mainstream tasks to high-end applications. The company continues to invest in silicon development and integration with AWS services like Amazon SageMaker, supporting customers in building and deploying generative AI applications.
For organizations scaling inference workloads or developing foundation models, AWS offers purpose-built chips and accelerated compute options, including Amazon Bedrock for building and deploying generative AI applications. This recognition from Forrester highlights AWS's leadership in providing comprehensive, flexible, and efficient AI infrastructure solutions.
The recognition as a leader in AI infrastructure solutions enhances AWS's position in the AI ecosystem, potentially influencing enterprise adoption and developer choices.