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Running Inference at Scale on Kubernetes – the Storage Layer Nobody Talks About

Running inference at scale on Kubernetes works only when data movement keeps up. Most teams tune GPUs, autoscalers, and model servers, then watch performance collapse anyway. The reason sits underneath the stack. Model weights, KV-cache state, and vector indexes all depend on fast data movement, and a slow data path stalls the pods that wait […]

Running Tenant Kubernetes Clusters on Red Hat OpenShift Virtualization with Portworx and FlashArray

Delivering Kubernetes Cluster Granular Multi-Tenancy Without Dedicated Bare Metal Nodes Introduction As organizations modernize their application platforms, many are looking for ways to provide Kubernetes environments to multiple teams without significantly increasing infrastructure footprint. A common requirement is the ability to provision dedicated Kubernetes clusters for individual teams, projects, development environments, CI/CD pipelines, training labs, […]

Everpure Fusion and Portworx: Redefining Enterprise Storage for the Kubernetes Era

Enterprises are rapidly standardizing on Kubernetes to manage both modern containerized applications and traditional virtualized workloads. As the application operating model evolves, storage teams are being asked to deliver the same enterprise-grade governance, performance tiering, and data protection they’ve always provided, but now through Kubernetes-native, self-service workflows. The challenge is that the centralized tools storage […]

IDC PeerScape: Transitioning to Modern Virtualization

Rising virtualization software license costs have pushed many organizations to look at alternative virtualization platforms. At the same time, they are also trying to containerize more of their applications running in production. Modern virtualization is a way to address both infrastructure challenges.  Modern virtualization refers to running VM-based applications in Kubernetes clusters to consolidate and […]