Kubernetes on HPE Cray EX: AI, Secure Computing, and Data Services
A recent paper on arXiv (2608.00742) assesses the implementation of Kubernetes on a Hewlett Packard Enterprise (HPE) Cray EX supercomputer utilizing the HPE Slingshot interconnect. This research emphasizes Kubernetes' capability to manage various workloads, including AI, secure computing for sensitive information, and orchestration of mixed workloads. Although Kubernetes is prevalent in cloud-native environments, its application in supercomputing has been restricted due to the demand for bare-metal performance. The authors contend that conventional single-tenant batch systems fall short in providing the flexibility and reproducibility expected by public cloud users. Rather than replacing batch schedulers, which are effective for large-scale MPI jobs, Kubernetes acts as a supplementary service within a national AI Research Resource. The study examines the practicality and performance of deploying Kubernetes on HPE Cray EX systems, marking a significant move towards incorporating cloud-native adaptability into high-performance computing.
Key facts
- Paper arXiv:2608.00742 evaluates Kubernetes on HPE Cray EX supercomputer.
- Kubernetes is used for AI, secure computing, and data services.
- HPE Slingshot interconnect is used in the deployment.
- Kubernetes adoption in supercomputing is limited due to bare-metal performance needs.
- Traditional batch systems lack flexibility and reproducibility.
- Kubernetes is complementary to batch scheduling systems.
- The deployment is part of a national AI Research Resource.
- The paper is a cross-announcement on arXiv.
Entities
Institutions
- arXiv
- Hewlett Packard Enterprise (HPE)
- HPE Cray EX