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.
This recognition reflects our commitment to delivering flexible, cost-efficient AI infrastructure that helps you move from experimentation to production-ready AI at scale.
The Growing Importance of AI Infrastructure
As AI adoption accelerates, businesses need robust infrastructure that supports the entire lifecycle of AI workloads—from initial training and fine-tuning to inferencing at scale. The demand for AI capabilities is not just a passing trend; it’s a foundational shift in how organizations operate and innovate.
According to Forrester’s evaluation, successful AI infrastructure necessitates the integration of three key components:
- Workload-specific architecture tailored for training, fine-tuning, and inference rather than generic computational needs.
- Engineering efficiency through coordinated designs across compute, network, storage, and orchestration to maximize usage efficiency.
- Sustainability and flexibility that addresses power management, cooling requirements, and avoids vendor lock-in, ensuring that customers remain agile.
What Forrester Evaluated
The Forrester Wave: AI Infrastructure Solutions, Q4 2025 assessed 13 providers through a comprehensive review process that examined criteria covering current offerings, strategic vision, and customer feedback. AWS shone brightly in this evaluation, receiving the highest score possible (5.00) across 16 critical areas, including:
Current Offering Category
- Architecture
- Ecosystem
- Data Management
- Training
- Development
- Management and Operations
- Fault Tolerance
- Efficiency
- Security
- Scalability
Strategy Category
- Vision
- Innovation
- Roadmap
- Partner Ecosystem
- Pricing Flexibility and Transparency
Figure 1: AWS positioned as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025
How AWS Approaches AI Infrastructure
AWS’s approach to AI infrastructure focuses heavily on providing customer choice and maximizing cost efficiency. Our offerings include both proprietary AI chips, AWS Inferentia and AWS Trainium, along with NVIDIA GPU instances. This dual offering allows you to align the right compute power with specific workloads without being tied down to a single vendor.
As noted by Forrester in their report, “AWS’ vision is to offer both proprietary accelerators and NVIDIA GPUs, empowering customers with cost-efficient options for inference workloads without hardware lock-in. Its custom silicon excels in mainstream tasks, while NVIDIA caters to high-demand applications. The impressive roadmap indicates ongoing investment in silicon innovation and deeper integration with AWS services such as Amazon SageMaker.”
In addition, Forrester highlights that “AWS is best for companies with high-volume or elastic inference workloads that prioritize cost efficiency while still needing access to GPUs for peak performance scenarios.” This holistic approach equips businesses to thrive in a competitive landscape fueled by AI advancements.
Getting Started
Whether you’re looking to scale inference workloads or build foundation models, AWS provides the AI infrastructure needed to support your journey:
- Explore AWS AI infrastructure to learn more about our purpose-built chips and accelerated compute options.
- Get started with Amazon Bedrock to build, customize, and deploy generative AI applications faster with fully managed foundation models.
- Read the full report to understand how Forrester evaluated all 13 providers based on detailed criteria.
Required Objectivity Statement: Forrester doesn’t endorse any company, product, brand, or service included in its research publications and doesn’t advise any person to select the products or services of any company or brand based solely on the ratings included in such publications. Information is based on the best available resources reflecting judgment at the time, and is subject to change. This report is part of a broader collection of Forrester resources, including interactive models, frameworks, tools, data, and access to analyst guidance. For more information, read about Forrester’s objectivity.
Attribution: The Forrester Wave: AI Infrastructure Solutions, Q4 2025, Forrester Research, Inc., December 16, 2025.
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