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The Hidden Risks of Soft Isolation in Multi-Tenant GPU Clouds

· 5 min read
Amar Kapadia
Amar Kapadia
Product

Relying solely on Kubernetes Namespaces or vClusters for multi-tenant isolation in GPU clouds is risky — especially when hosting untrusted or external workloads.

In September 2024, Wiz discovered a critical NVIDIA Container Toolkit vulnerability (CVE-2024-0132) that allowed GPU containers to escape soft isolation and gain root access to the host. This flaw impacted over one-third of GPU-enabled environments and exposed the limits of Kubernetes-based isolation.

Soft isolation is not secure isolation. For environments like Neoclouds, NVIDIA Cloud Partners (NCPs), or regulated industries, only hard or hybrid isolation strategies — such as dedicated Kubernetes clusters, MIG-based GPU partitioning, VPCs, VxLAN, VRFs, KVM virtualization, IB P-KEY, and NVLink partitioning — can protect against container escapes.