Containers stories
The update aims to give large organisations tighter control over AI workloads spread across clouds, servers and containers, with policy checks built in.
The multi-year project aims to give Telefónica Germany more control over data, resilience and AI-ready services as it modernises infrastructure.
Unsanctioned AI tools and siloed IT systems are widening risk for hospitals, as 88% say on-site infrastructure is not ready.
The new service is aimed at reducing downtime and data loss for enterprises running Kubernetes and virtual machines across hybrid HPE environments.
Research teams can now run HPC and AI workloads without rebuilding storage and cloud stacks, as CIQ adds support for major file systems.
Research centres can now keep existing Lustre and GPFS data in place as Fuzzball 4.0 adds Azure support, caching and a registry.
The platform aims to cut idle cloud spend for Kubernetes users, with DevZero saying it can shift workloads live as demand changes without restarts.
Most financial institutions now see unsanctioned AI use as a business risk, with 86% of IT executives warning of weak oversight.
Users can now route AI and HPC jobs across five clouds and on-premises through one workflow, cutting rebuilds and manual reconfiguration.
The addition gives companies a shared layer for securing and routing AI traffic as agentic systems move into production.
The update lets AI and HPC teams move workloads across five clouds and on-premises, cutting duplication and simplifying GPU access.
Cluster operators gain automated workload balancing and broader networking controls in the latest release, reducing manual intervention during maintenance.
The update aims to curb bad answers and compliance risk for banks and other regulated users as enterprise AI rolls out more widely.
The Polish lender expects a 60% drop in virtualisation costs as it shifts hundreds of critical workloads onto Red Hat OpenShift and Hitachi Vantara.
The update could ease migrations for IT teams seeking to cut VMware dependence without adding Linux administration overhead.
Rising virtual machine estates on Red Hat OpenShift are driving demand for faster backups and more predictable recovery across hybrid cloud setups.
The integration gives OpenShift users unified storage and disaster recovery controls, reducing operational complexity for AI, VM and container workloads.
New controls aim to let enterprises run autonomous AI agents more securely across hybrid cloud systems, with tighter governance and audit trails.
Rising virtualisation costs and AI demands are pushing organisations towards HPE's updated GreenLake stack for simpler private cloud and data protection.
Enterprises running AI across multiple sites may cut latency and costs as the partners link cloud, edge hardware and Kubernetes management.
