Red Hat SummitAI Partner Ecosystem
Accelerate machine learning pipelines and intelligent application delivery
Build a hybrid cloud platform for AI/ML workloads
Leaders in a variety of industries are using the power of artificial intelligence (AI) and machine learning (ML) to deliver business outcomes.
Red Hat has the leading open hybrid cloud platform powered by containers, Kubernetes, DevOps, and a broad ecosystem of partner technologies to help you build a solid foundation for production-ready AI/ML environments, along with AI cloud services and training for rapid adoption.
Overview
Red Hat and partner capabilities drive AI/ML adoption
While there are many benefits, adopting AI/ML can pose significant challenges. In addition to hardware investments, there are architectural, cultural, and process considerations associated with creating an agile AI/ML environment. Proprietary solutions are complex and inflexible, making it increasingly difficult to integrate and operate AI/ML workloads at scale.
Open source containers and Kubernetes DevOps practices are key to accelerating the AI and ML life cycles and intelligent application delivery. These technologies give data scientists much-needed agility, flexibility, portability, and scalability to train, test, and deploy models in production.
A leader among multicloud container development platforms, Red Hat® OpenShift® enables collaboration between data scientists and software developers. It accelerates the rollout of intelligent applications across hybrid cloud environments, from the datacenter to the network edge to multiple clouds.
Red Hat OpenShift AI
Provide data scientists and developers with a fully supported MLOps platform where they can rapidly develop, train, test, and deploy intelligent applications before deploying in production. Red Hat OpenShift AI can be extended with technology partners including Starburst, Anaconda, IBM, Intel, Pachyderm, and NVIDIA.
Certified Software
Innovate with Red Hat's AI/ML certified partner solutions
The Red Hat certified partner ecosystem allows you to integrate your choice of AI/ML and application development tools into this architecture, enabling you to successfully adopt AI/ML for intelligent applications with better business results.
AI Framework
AI/ML framework on Kubernetes
Red Hat works closely with an ecosystem of certified partners, who extend and enhance our portfolio of infrastructure solutions and end-to-end integration to provide tailored solutions that directly address your use cases and enable success.
A key part of accelerating the ML life cycle are Kubernetes Operators—a method of packaging, deploying, and managing a Kubernetes application that accompanies a partner’s solution. Red Hat OpenShift relies on operators to reduce operations effort and cost, increase service reliability, and spur innovation by freeing teams from repetitive maintenance work. Red Hat works closely with partners to meet key certification standards. Operator Hub, integrated into Red Hat OpenShift, provides easy access to fully certified operators from our partners that meet a high bar of quality standards.
Certified partner software solutions for AI/ML
Red Hat AI partners build on the Red Hat Infrastructure to complete and optimize AI/ML application development. They help to complete the AI pipeline with solutions ranging from data integration and preparation, to AI model development and training, to model serving and inferencing (making predictions) based on new data. All of this is supported on a self-service hybrid multicloud platform that empowers data scientists, data engineers, and software developers to be agile and collaborative, with a consistent experience across on-site, public clouds, and edge locations.
Case studies
Customer success
Royal Bank of Canada boosts efficiency with an AI private cloud platform
Royal Bank of Canada (RBC) and its AI research institute, Borealis AI, partnered with Red Hat and NVIDIA to build a private cloud AI that could bring transformative intelligent applications to market faster and enhance the customer experience. With Red Hat OpenShift and NVIDIA’s DGX AI computing systems, RBC can run thousands of simulations and analyze millions of data points in a fraction of the time previously required.
Build a solid foundation for AI/ML
Explore the following Red Hat AI/ML ISV partners, or visit the ISV partner page to find certified and supported partner solutions across a range of other use cases.
Red Hat and SAS collaborate to enable organizations to use open, hybrid cloud technologies and analytical capabilities to drive business-level intelligence.
Red Hat OpenShift with CDP Private Cloud is a next-generation, on-site data analytics platform that can transform complex data into clearer and more actionable insights.
Starburst Enterprise for Presto on Red Hat OpenShift enables rapid analytics across multiple data platforms.
Red Hat OpenShift is optimized for H2O Driverless AI and H2O Open Source, making it easier to deploy and manage H2O.ai products across the hybrid cloud.
Anaconda and Red Hat address innovation in AI by bridging the gap between data science and IT in the enterprise to quickly deliver insights into the hands of decision makers.
Browse all hardware partners
Together, Red Hat and NVIDIA speed up delivery of AI-powered intelligent apps across datacenter, edge, and public clouds.
Red Hat OpenShift Container Platform on Intel technology provides a cloud-native, hybrid-multicloud infrastructure that transforms your business and helps you get ready for AI and ML.
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