Articles

What the AI Infrastructure 2025 Survey Reveals, And How Platform Teams Can Respond

The latest AI Infrastructure 2025 survey shows that most organizations are struggling not due to GPU scarcity, but because of poor GPU utilization caused by limited multi-tenancy capabilities. Learn how virtual clusters and virtual nodes help platform teams solve high costs, sharing issues, and low operational maturity in Kubernetes environments.

New platform combines virtual clusters, dynamic GPU autoscaling, and hybrid networking to maximize NVIDIA infrastructure efficiency—from DGX systems to bare metal and cloud.

vCluster Labs announced its Infrastructure Tenancy Platform for AI at KubeCon North America 2025, delivering a Kubernetes-native foundation for running AI workloads on NVIDIA GPU infrastructure. The platform introduces vCluster Private Nodes, Auto Nodes with Karpenter-based autoscaling, vCluster VPN for hybrid networking, and direct integrations with NVIDIA Base Command Manager, KubeVirt, and Netris—helping organizations maximize GPU utilization while maintaining full workload isolation and security across cloud, on-prem, and bare metal environments.

vCluster Labs and Netris team up to bring cloud-grade Kubernetes automation and network-level multi-tenancy to AI factories and GPU-powered infrastructure.

vCluster Labs has partnered with Netris to revolutionize how AI operators run Kubernetes on GPU infrastructure. By combining vCluster’s Kubernetes-level isolation with Netris’s network automation, the integration delivers a full-stack multi-tenancy solution, simplifying GPU cloud operations, maximizing utilization, and enabling cloud-grade performance anywhere AI runs.

How vCluster’s Private Nodes, Auto Nodes, and Standalone releases redefine multi-tenancy for modern Kubernetes platforms.

From hardware-isolated clusters to dynamic autoscaling and fully standalone control planes, vCluster’s latest launch series completes the future of Kubernetes multi-tenancy. Discover how Private Nodes, Auto Nodes, and Standalone unlock new levels of performance, security, and flexibility for platform teams worldwide.

Rethinking Kubernetes scale: avoid the risks of etcd sharding with virtual clusters built for performance, stability, and multi-tenant environments.

Is your Kubernetes cluster slowing down under load? etcd doesn’t scale well with multi-tenancy or 30k+ objects. This blog shows how virtual clusters offer an easier, safer way to isolate tenants and scale your control plane, no sharding required.

How virtual clusters and smarter tenancy models can reduce carbon impact while scaling AI workloads.

AI’s rapid growth is fueling a silent climate problem: idle infrastructure. This blog explores why multi-tenancy is key to scaling AI sustainably and how vCluster helps teams reduce waste while moving faster.

Compare vCluster and HyperShift to understand which solution delivers better multi-tenancy, efficiency, and compatibility in Kubernetes environments.

As platform engineering teams scale Kubernetes adoption, choosing the right multi-tenancy model becomes crucial. This article compares Red Hat's HyperShift and Loft Labs’ vCluster, highlighting the trade-offs in resource usage, ecosystem compatibility, portability, and vendor lock-in. Learn why vCluster’s lightweight, upstream-native approach is often better suited for modern internal platforms.

In the dynamic landscape of Kubernetes hosting, Kubernetes cost efficiency and environmental sustainability are pivotal concerns for organizations aiming to maximize their IT budget while ensuring robust performance and minimizing their carbon footprint. A compelling strategy tha...

Platform engineers must maintain efficiency, boost security, and optimize costs when building apps. Yet traditional tools don't seem to provide solutions to these problems. Virtual Kubernetes clusters are now emerging as an ideal solution. This is because they have several qualit...

Despite being in high demand, the high cost and maintenance of GPU resources pose a problem for providers. A solution that reduces costs and improves efficiency is necessary. Enter multi-tenant Kubernetes. Multi-tenant Kubernetes allows different apps, workloads, and teams to liv...