Scalable. AI-Ready. Open and Flexible by Design.
Red Hat on IBM Cloud
Empower your transformation with Red Hat on IBM Cloud solutions. A growing up portfolio to help you migrate with speed, modernize with confidence, and unlock the potential of AI workloads across your hybrid and multicloud environments. By combining Red Hat’s open hybrid cloud technologies with IBM Cloud’s enterprise-grade capabilities, you gain the freedom to move applications and data seamlessly while ensuring security, scalability, and consistency everywhere you operate. Cloud-native is the foundation for faster innovation and smarter growth.
With Red Hat on IBM Cloud, your organization can accelerate progress and achieve more value from every investment. Whether you’re migrating critical workloads, modernizing legacy systems, or deploying AI to drive new insights, these integrated solutions deliver the flexibility, performance, and intelligence needed to compete in a digital-first world. Simplify complexity, reduce costs, and unleash innovation—powered by Red Hat and IBM Cloud.
Featured news
Learn how you implement a streamlined solution to migrate and modernize your VMs.
Protect data in use bringing Confidential Computing to your cloud-native infrastructure.
Read the announcement blog about Red Hat AI InstructLab and RHEL available on IBM Cloud.
Learn about OpenShift integation to INTEL AI acceletators.
Red Hat solutions on IBM Cloud
Seamlessly move your existing virtualization workloads to the cloud to boost resilience, agility, and cost efficiency. Simplify migration and management of traditional VM workloads with a ready-to-use toolkit and intelligent automation that remove complexity and accelerate transformation.
Enhance IT infrastructure performance and high availability with the flexibility of multi-hybrid cloud deployment options, that’s backed by global data centers built for enterprise-grade security. Effortlessly run vendor delivered, custom-off-the-shelf apps in a managed Kubernetes environment, or deploy custom apps from a unified platform.
Easily develop and deploy open-source AI solutions on a secure, scalable cloud infrastructure with 24/7 support. Leverage a foundational model platform that lets you develop, test, and run large language models (Granite). Quickly train and fine-tune models that’s tailored to specific business needs.
Red Hat AI offerings on IBM Cloud
Red Hat AI on IBM Cloud portfolio includes Red Hat AI InstructLab on IBM Cloud as a service (SaaS) to build fit-for-purpose Large Language Models (LLMs) models, Red Hat OpenShift AI on IBM Cloud for building, deploying, and managing AI-enabled applications at scale, and Red Hat Enterprise Linux (RHEL) AI for individual Linux server environments.
Consistently develop, test, and deploy custom Granite based large language models (LLMs) and integrated LLM hosting with vLLM to power enterprise applications. You can build and host models from the same bootable image. In addition to the open source Granite LLM family, Red Hat Enterprise Linux AI provides InstructLab model alignment tools based on the LAB methodology and a community-driven approach to model development through the InstructLab project. The entire solution is packaged as an optimized, bootable RHEL AI image for deployment on IBM Cloud.
Consistently develop, test, and deploy custom Granite based large language models (LLMs) and integrated LLM hosting with vLLM to power enterprise applications. You can build and host models from the same bootable image. In addition to the open source Granite LLM family, Red Hat Enterprise Linux AI provides InstructLab model alignment tools based on the LAB methodology and a community-driven approach to model development through the InstructLab project. The entire solution is packaged as an optimized, bootable RHEL AI image for deployment on IBM Cloud.
Client stories
Born digital AI platforms for exponential digital revenue streams
Adopting a cloud-native to accelerate Digital Transformation
Transforming collaboration across client-facing teams at IBM
Acing the US Open digital experience
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