Enabling your hybrid cloud with advanced AI where it matters most
Hybrid cloud simplified
Today’s workloads require a hybrid cloud approach to manage data, applications and models across on-premises and cloud environments. IBM Z® offers security-rich integration and performance for hybrid infrastructures, enabling organizations to optimize data and compute resources while scaling AI and critical applications. With Red Hat® OpenShift® and IBM solutions, you can simplify operations and focus on outcomes, not IT complexity.
Unify application management across on-premises, cloud and edge environments with IBM Z and Red Hat OpenShift for consistent hybrid cloud operations.
Protect mission-critical workloads with end-to-end encryption, quantum-safe algorithms and security-rich AI model deployments.
Maximize efficiency with high-performance computing, intelligent workload distribution and adaptive resource management.
Accelerate AI and software deployment with open tools such as Red Hat OpenShift and Ansible Automation, reducing complexity and enhancing flexibility.
Products
These technologies, including the IBM z17 with Telum II processor, enhance automation, security and operational efficiency, making IBM Z a powerful foundation for hybrid cloud and AI-driven workloads.
Brings AI-powered automation to IBM Z environments, enabling natural language-driven interactions and intelligent automation for IT operations and customer service in hybrid cloud environments.
Run cloud-native apps with enterprise security and high performance. Seamlessly integrate with Red Hat OpenShift and Ansible for AI, DevOps and hybrid cloud efficiency.
Provides a consistent, cloud-native platform for deploying and managing containerized applications across on-premises, cloud and edge environments, helping ensure seamless hybrid cloud operations.
A suite of tools including IBM Wazi, UrbanCode Deploy and Git-based development pipelines, modernizing application development and accelerating software delivery across hybrid cloud environments.
Use cases
Deploy AI models securely across hybrid environments, leveraging AI-ready infrastructure on IBM Z for training, inferencing, and real-time analytics.
Maintain stringent security and governance requirements with on-premises deployments while leveraging cloud resources for innovation.
Transition applications to cloud-native architectures using Red Hat OpenShift and Kubernetes for greater flexibility and performance.
Ensure business continuity with IBM Z infrastructure's built-in encryption and security features, protecting critical workloads in hybrid cloud environments.