Multi-tenant Kubernetes Use Cases for AI, Secure Computing and Data Services, and More
Kubernetes, as a container orchestration engine, has been widely used in cloud-native ecosystems for several years. In supercomputing ecosystems, especially where bare-metal performance for compute and network devices are considered, the adoption is somewhat limited. However, with the increasing diversity of use cases such as AI, secure and confidential computing for sensitive data, and mixed workload orchestration, a traditional, single-tenant batch computing system does not offer the flexibility and reproducibility to which public cloud users are accustomed. Note that Kubernetes is not considered a replacement for batch scheduling systems, which have powerful features for large-scale MP...
| Authors | Jake Watson, Sadaf R Alam, Christopher Woods et al. |
|---|---|
| Primary category | cs.DC |
| Published | 1 August 2026 |
| Last updated at source | 1 August 2026 |
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