Redis achieves AWS AI competency: Powering the next generation of AI applications

AI applications demand more than powerful models. They demand real-time data access, ultra-low latency, and the ability to scale without friction. That is where Redis consistently shows up.

We are excited to announce that Redis has achieved the AWS AI Competency, recognizing Redis as a validated partner for building, deploying, and operating AI workloads on AWS. This competency recognizes Redis's proven expertise in production AI systems.

Why Redis matters in modern AI architectures

As generative AI moves from experimentation into production, AI and ML systems increasingly depend on how fast they can move data. Models may reason, but data platforms make decisions happen, especially for use cases such as RAG, real-time inference, and personalization that require millisecond-level access to fresh data at scale.

Redis is commonly used across AWS-based AI architectures for this reason. Customers rely on Redis for feature stores, where fast access to real-time and historical data is critical for both training and inference. Redis also powers vector databases that enable semantic search and recommendation systems.

In addition, Redis acts as a caching and session layer in front of models, reducing latency for AI-powered user experiences, and processes live data streams for real-time analytics and decision-making.

When deployed on AWS, Redis integrates seamlessly with services such as Amazon Bedrock, AWS Lambda, and Amazon OpenSearch, enabling end-to-end AI systems that are both powerful and production-ready.

What the AWS AI Competency means for customers

For customers building AI solutions on AWS, this competency delivers real value.

It provides confidence that Redis is a validated AI partner on AWS, with architectures and use cases reviewed against AWS standards. It shortens time to value by offering proven patterns and best practices instead of forcing teams to stitch together experimental components. It enables scalability at speed, even under demanding real-time workloads. And it ensures enterprise-grade reliability and security aligned with AWS expectations.

Whether you are deploying large language models, building recommendation engines, or enabling real-time personalization, Redis helps ensure AI applications perform at scale without compromise.

Real-time AI, built for production

As AI moves from experimentation into production, performance becomes non-negotiable. Modern AI applications require low latency, fresh data, and consistent responses. Redis helps organizations move beyond prototypes and deliver real-time AI experiences that teams and customers can trust.

The AWS AI Competency is another step forward in our mission to help developers and enterprises build faster, smarter applications on AWS.

Get started with Redis and AWS AI

Ready to build real-time AI on AWS?

• Learn how Redis integrates with AWS AI services
• Explore reference architectures and best practices
• Talk to Redis experts about your AI use case

The future of AI is real-time, and Redis is proud to power it on AWS.