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AI Business & IndustryAmazon AI BlogPublished: Sep 1, 2026, 06:01 JST

AWS named Leader in Forrester AI Infrastructure Wave

AWS named Leader in Forrester AI Infrastructure Wave

3 Key Points

  1. What happened

    AWS has been named a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025, scoring highest in the Strategy category among 13 providers.

  2. Why it matters

    The recognition highlights AWS's dual approach—offering proprietary AI chips (AWS Inferentia and AWS Trainium) alongside NVIDIA GPU instances—to provide cost-efficient, flexible AI infrastructure without vendor lock-in.

  3. What to watch

    Forrester noted AWS is best for high-volume or elastic inference workloads that prioritize cost efficiency but still need GPUs for peak performance. The full report covers all 13 providers.

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Context & Analysis

This recognition comes as AI adoption accelerates, and businesses need infrastructure that supports the full lifecycle of AI workloads—from training and fine-tuning to inference at scale. Forrester's evaluation assessed 13 providers on criteria spanning current offering, strategy, and customer feedback, with AWS achieving the highest possible score (5.00) in 16 criteria, including architecture, security, and innovation.

The report underscores AWS's strategy of offering both proprietary AI chips (AWS Inferentia and AWS Trainium) and NVIDIA GPU instances, allowing customers to match compute to each workload without lock-in. This approach is particularly relevant as Forrester identifies sustainability and flexibility—addressing power, cooling, and avoiding vendor lock-in—as key elements of successful AI infrastructure. AWS's strong performance in the Strategy category, including vision and roadmap, signals continued investment in silicon development and closer integration with services like Amazon SageMaker.

FAQ
Which Forrester report recognized AWS?
The Forrester Wave: AI Infrastructure Solutions, Q4 2025, published by Forrester Research on December 16, 2025.
What did Forrester say about AWS's approach?
Forrester noted AWS's vision to offer both proprietary accelerators and NVIDIA GPUs, providing cost-efficient options for inference workloads without hardware lock-in. It also said AWS is best for high-volume or elastic inference workloads prioritizing cost efficiency.
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