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Sharing is Caring – Fractional GPU Allocations With MetaGPU Device Plugin

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Build that splits any GPU into 100 meta-GPUs per card, registers capacity to kubelet via a gRPC device plugin and exposes usage with mgctl and Prometheus exporter. It enforces per-share GPU memory by killing over‑limit processes, supports dynamic resharing with zero downtime, and targets older cards that lack MIG. The open‑source project called MetaGPU device plugin runs as a DaemonSet, is production‑tested, and reports allocatable vs allocated so Kubernetes scheduling becomes accurate.

AI-written summary · about

  1. 0:00Introduction
  2. 1:12Linux GPU basics
  3. 2:16GPU sharing with Docker
  4. 4:01GPU sharing in Kubernetes
  5. 6:53GPU sharing without plugins
  6. 9:24Multi-node GPU challenges
  7. 11:55Kubernetes device plugins
  8. 12:56MetaGPU architecture
  9. 14:02Fractional GPU allocation
  10. 16:14NVIDIA monitoring limits
  11. 17:38mgctl for Kubernetes
  12. 19:26Enforcing GPU memory limits
  13. 23:04Open source overview
  14. 23:25MetaGPU features
  15. 23:47Q&A
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