Red Hat and AWS Join Forces to Revolutionize AI Implementation

In a significant development in the realm of artificial intelligence (AI) and cloud computing, Red Hat, renowned for its open-source solutions, has announced an expanded partnership with Amazon Web Services (AWS). This collaboration aims to enhance the deployment of enterprise-grade generative AI (gen AI) on AWS platforms using Red Hat AI and AWS’s specialized AI silicon. This initiative seeks to provide IT decision-makers with the flexibility to execute high-performance AI inference on a large scale, irrespective of the hardware used.

The Core of the Collaboration

The central objective of this partnership is to offer a supported route for businesses looking to deploy gen AI at scale. By combining the adaptability of open-source solutions with the robust AWS infrastructure and targeted AI accelerators, this collaboration intends to speed up the transition from pilot projects to full-scale production.

The Rise of Generative AI

With the growing prominence of generative AI, organizations are compelled to reassess their IT infrastructures. According to a prediction by IDC, by 2027, 40% of organizations are expected to rely on custom silicon, such as ARM processors or chips specifically designed for AI/ML tasks, to satisfy the increasing demands for performance optimization and cost efficiency. This forecast highlights the necessity for optimized solutions that can boost processing power, reduce costs, and facilitate quicker innovation cycles for high-performance AI applications.

Enhanced AI Strategy

Red Hat’s partnership with AWS is designed to equip organizations with a comprehensive gen AI strategy. This is achieved by integrating Red Hat’s extensive platform capabilities with AWS’s cloud infrastructure and AI chipsets, namely AWS Inferentia2 and AWS Trainium3. The key elements of this collaboration include:

1. Red Hat AI Inference Server on AWS AI Chips: The Red Hat AI Inference Server, powered by vLLM, will now be compatible with AWS AI chips, including AWS Inferentia2 and AWS Trainium3. This integration is designed to provide a unified inference layer capable of supporting any gen AI model. This development promises to deliver higher performance, reduced latency, and cost-effectiveness, offering up to 30-40% better price performance than current GPU-based Amazon EC2 instances.
2. Enabling AI on Red Hat OpenShift: In collaboration with AWS, Red Hat has developed an AWS Neuron operator for Red Hat OpenShift, Red Hat OpenShift AI, and Red Hat OpenShift Service on AWS. This fully managed application platform on AWS is intended to provide a seamless and supported path for running AI workloads utilizing AWS accelerators.
3. Ease of Access and Deployment: By supporting AWS AI chips, Red Hat aims to offer its customers on AWS enhanced access to high-demand, high-capacity accelerators. Additionally, Red Hat has introduced the amazon.ai Certified Ansible Collection for Red Hat Ansible Automation Platform, facilitating the orchestration of AI services on AWS.
4. Upstream Community Contribution: Red Hat and AWS are working together to optimize an AWS AI chip plugin, which will be integrated into vLLM. As a leading commercial contributor to vLLM, Red Hat is committed to enabling vLLM on AWS, thereby enhancing AI inference and training capabilities. vLLM also underpins llm-d, an open-source project focused on delivering scalable AI inference, now available as a commercially supported feature in Red Hat OpenShift AI 3.
   

   Addressing Evolving Organizational Needs
   

   Red Hat’s history of collaboration with AWS spans from the data center to the edge. This latest development aims to address the evolving needs of organizations as they incorporate AI into their hybrid cloud strategies, striving for optimized and efficient gen AI outcomes.

   Availability and Future Plans
   

   The AWS Neuron community operator is currently available in the Red Hat OpenShift OperatorHub for customers using Red Hat OpenShift or Red Hat OpenShift Service on AWS. Support for AWS AI chips by the Red Hat AI Inference Server is expected to be released in a developer preview by January 2026.

   Industry Insights and Reactions
   

   Supporting Quotes
   

   • Joe Fernandes, Vice President and General Manager, AI Business Unit, Red Hat: “By enabling our enterprise-grade Red Hat AI Inference Server, built on the innovative vLLM framework, with AWS AI chips, we’re empowering organizations to deploy and scale AI workloads with enhanced efficiency and flexibility. Building on Red Hat’s open-source heritage, this collaboration aims to make generative AI more accessible and cost-effective across hybrid cloud environments.”
   • Colin Brace, Vice President, Annapurna Labs, AWS: “Enterprises demand solutions that deliver exceptional performance, cost efficiency, and operational choice for mission-critical AI workloads. AWS designed its Trainium and Inferentia chips to make high-performance AI inference and training more accessible and cost-effective. Our collaboration with Red Hat provides customers with a supported path to deploying generative AI at scale, combining the flexibility of open source with AWS infrastructure and purpose-built AI accelerators to accelerate time-to-value from pilot to production."
   • Jean-François Gamache, Chief Information Officer and Vice President, Digital Services, CAE: "Modernizing our critical applications with Red Hat OpenShift Service on AWS marks a significant milestone in our digital transformation. This platform supports our developers in focusing on high-value initiatives – driving product innovation and accelerating AI integration across our solutions. Red Hat OpenShift provides the flexibility and scalability that enable us to deliver real impact, from actionable insights through live virtual coaching to significantly reducing cycle times for user-reported issues."
   • Anurag Agrawal, Founder and Chief Global Analyst, Techaisle: “As AI inference costs escalate, enterprises are prioritizing efficiency alongside performance. This collaboration exemplifies Red Hat’s ‘any model, any hardware’ strategy by combining its open hybrid cloud platform with the distinct economic advantages of AWS Trainium and Inferentia. It empowers CIOs to operationalize generative AI at scale, shifting from cost-intensive experimentation to sustainable, governed production.”

     This collaboration between Red Hat and AWS represents a significant advancement in the integration of AI technologies within enterprise environments. As organizations continue to seek more efficient and scalable AI solutions, partnerships like this are crucial in driving innovation and providing businesses with the tools they need to succeed in the rapidly evolving tech landscape.

     For more information, visit the Red Hat at AWS re:Invent 2025 at booth #839.

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