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.
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.
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 Forrester’s evaluation, successful AI infrastructure requires three elements:
The Forrester Wave: AI Infrastructure Solutions, Q4 2025 assessed 13 providers across detailed criteria spanning current offering, strategy, and customer feedback. AWS received the highest score possible (5.00) in 16 criteria, including:
Figure 1: AWS positioned as a Leader in The Forrester Wave: AI Infrastructure Solutions, Q4 2025
How AWS approaches AI infrastructure
Our approach to AI infrastructure centers on customer choice and cost efficiency. We offer both proprietary AI chips, AWS Inferentia and AWS Trainium, alongside NVIDIA GPU instances. With both options, you can match the right compute to each workload without lock-in.
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. Its custom silicon delivers strong performance for mainstream tasks, while NVIDIA supports high-end needs. The compelling roadmap signals continued investment in silicon development and closer integration with AWS services such as Amazon SageMaker. AWS partners closely with leading model developers, giving customers direct access to a diverse set of foundation models.”
Forrester also observed: “AWS is best for companies with high-volume or elastic inference workloads that prioritize cost efficiency but still need access to GPUs for peak performance scenarios.”
Whether you’re scaling inference workloads or building foundation models, AWS provides the AI infrastructure to support your journey:
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 on the ratings included in such publications. Information is based on the best available resources. Opinions reflect judgment at the time and are 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.
Related Stories
AI News
Anthropic’s Claude: What You Need to Know About This AI Tool
54 minutes ago
AI News
Ancestral vs. Artificial Intelligence
54 minutes ago
AI News
Apple’s New CEO Inherits an AI Strategy Built on Outsiders
1 hour ago
AI News
House Intelligence Committee warns of 'Black Swan' AI risks
1 hour ago
AI News
Can AI Models Identify Parkinson’s Patients at Risk for Faster Decline?
2 hours ago
AI News
Trump says datacenter opponents ‘want to end up being backwards and poor’
3 hours ago
AI News
NVIDIA GPU price rise pushes up AI infrastructure costs
3 hours ago
AI News
Sony, Warner Music sue Anthropic, saying it pirated songs to train its AI
3 hours ago