Containers stories
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.
The update targets firms weighing private cloud for production AI, with Broadcom citing cost, security and governance pressures in its research.
Regulated organisations can now run AI across distributed data while preserving access controls, audit trails and compliance boundaries.
Large enterprises can keep AI and other data-heavy workloads closer to home as the expanded service tackles sovereignty, latency and compliance risks.
Security teams may miss data theft as AI agents use Telegram and WhatsApp to run locally on endpoints with user-level access.
Businesses are turning to observability software to govern AI traffic and secure hybrid systems, as IDC sees the market rising to USD $4.39 billion by 2029.
Customers will soon get faster, cheaper AI training and inference as Google Cloud adds new TPUs, GPU instances and networking.
Log bills are rising fast as cloud-native systems swamp legacy tools and drag incident resolution, and Australian firms are paying over USD $1 million a year.
