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About the Author#

Raj Marni

Raj Marni

Principal Cloud and Infrastructure Architect

// GPU · RDMA · Kubernetes · AI infrastructure

With more than 25 years in enterprise and cloud architecture, Raj has worked with Kubernetes since 2015 and today focuses on GPU and HPC infrastructure for AI: accelerators, RDMA fabrics, collective communication, and the Kubernetes control plane that runs it all.

His work has spanned Fortune 500 organizations in finance, aerospace, government and technology.

Focus areas#

  • GPU clusters on Kubernetes: GPU Operator, device plugins and DRA, scheduling with Kueue and Volcano
  • High-performance networking: InfiniBand, RoCE v2, HPE Slingshot, RDMA into pods with Multus
  • Collective communication: NCCL and libfabric, on which he has written technical papers
  • Multi-tenant platform design: isolation, quotas and GPU sharing

Experience and education#

  • Cloud: 15+ years architecting and delivering enterprise applications and platforms on public, private and hybrid cloud
  • Kubernetes: 10+ years designing and implementing microservices-based platforms on Kubernetes
  • Education: M.S. Computer Science; B.E. Mechanical Engineering