# Memory-enforced GPU sharing in Kubernetes with NVIDIA CUDA 13.4

> Original title: Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4

- Source: NVIDIA Technical Blog
- Published: 2026-10-27T20:50:39.000Z
- Bad Influence: https://badinfluence.news/items/p5c3cg47y5d3it3njb8dkg99h
- Original: https://developer.nvidia.com/blog/memory-enforced-gpu-sharing-in-kubernetes-with-nvidia-cuda-13-4/

## Summary

NVIDIA's technical blog describes memory-enforced GPU sharing in Kubernetes using CUDA 13.4, letting platform teams run multiple AI workloads on a single GPU. The excerpt says that giving each workload a whole device can leave capacity idle, and that NVIDIA GPUs already support sharing approaches such as multi-instance GPU (MIG), which splits a GPU into hardware-isolated instances. The provided text does not give further details on the new mechanism.