The demand for efficient and secure sharing of high-value GPU resources in AI infrastructure is rapidly growing. To address this, vCluster Labs and Netris have announced a strategic partnership to deliver what they call the industry's first full-stack Kubernetes multi-tenancy solution. This collaboration unifies virtualization at the Kubernetes level with hard isolation at the network level, providing a complete environment for AI factories and GPU cloud providers.
vCluster Labs and Netris have formed a partnership to unify Kubernetes and network multi-tenancy.
The solution provides hard isolation for tenant Kubernetes clusters spanning physical and virtual nodes.
It enables AI operators to launch secure, compliant tenant environments in minutes.
The integration maximizes GPU utilization by allowing secure resource reallocation across tenants.
It eliminates manual configuration and fragile scripts, reducing operational risk.
The partnership aims to give on-premise AI infrastructure the agility of a hyperscaler cloud.
The new integration directly connects vCluster’s virtual cluster technology with Netris’s Network Automation and Multi-Tenancy Platform. This creates a single, automated workflow for provisioning isolated tenant Kubernetes clusters where isolation is enforced not just virtually but also on the physical networking layer. Each tenant receives an isolated data plane and network path, dynamically enforced without downtime.
Lukas Gentele, CEO and Co-Founder of vCluster, explained the synergy, stating, “Our mission has always been to make Kubernetes tenancy simple, efficient, and secure. With Netris, we extend that simplicity with automation and hard multi-tenancy at the networking layer. vCluster ensures isolation at the Kubernetes and compute level, while Netris enforces it at the network and abstraction layer. Together, that’s a full-stack approach to multi-tenancy for AI operators.”
This approach is critical for teams building GPU-based AI factories where strict tenant isolation is a non-negotiable requirement for security, compliance, and performance.
The joint solution is designed to allow operators to securely share GPU resources across multiple customers or business units. Key benefits include accelerating AI cloud launch timelines, maximizing GPU utilization by eliminating idle capacity, delivering secure multi-tenancy with hardware-level isolation, and reducing operational risk by replacing in-house automation with a validated, production-proven orchestration.
Alex Saroyan, CEO and Co-Founder of Netris, emphasized the necessity of this approach, saying, “Hard multi-tenancy is essential for AI infrastructure — it enforces isolation at the network hardware level, ensuring compliance, security, and predictable performance at scale. By combining network-level hard isolation and Kubernetes-level isolation, AI operators gain true end-to-end multi-tenancy — from compute to network.”
This partnership reflects a key industry trend where enterprises seek cloud-like agility for AI workloads but require the cost, control, and performance of on-premise or private GPU infrastructure. The vCluster and Netris integration provides a path to achieve both objectives simultaneously.
vCluster Labs is virtualizing Kubernetes to enable advanced tenancy models that increase utilization, reduce costs, and make Kubernetes more dynamic. vCluster allows platform and infrastructure teams to create virtual Kubernetes clusters that are as scalable and isolated as traditional clusters but far more lightweight and flexible. Trusted by companies like CoreWeave, Nscale, Adobe, and Deloitte, vCluster powers fully isolated tenant environments across public cloud, private data centers, and GPU-powered AI infrastructure.
Netris is the leading Network Automation, Abstraction, and Multi-Tenancy (NAAM) Platform purpose-built for GPU Clouds and Enterprise AI Factories. It provides the essential foundation for transforming GPUs from idle capital expense into sustainable revenue. By automating complex multi-fabric network environments across Ethernet, InfiniBand, NVLink, DPUs, Virtual, and Edge networking, Netris enables operators to launch AI clouds in weeks instead of years, maximize GPU utilization, and ensure secure, compliant multi-tenancy without the cost and risk of in-house automation.
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