In the news
Memory-Enforced GPU Sharing in Kubernetes with NVIDIA CUDA 13.4
NVIDIA Developer · Published · 3 min read
In 30 seconds
- What happened
- NVIDIA released CUDA 13.4 with memory-enforced GPU sharing in Kubernetes via the GPU Fractioning Operator and KAI Scheduler integration.
- Why it matters
- Platform engineers managing Kubernetes clusters need this when running multiple AI workloads on shared GPUs to enforce per-workload memory limits.
- Watch out
- The GPU Fractioning Operator requires NVIDIA GPU Operator already running and KAI Scheduler v0.18.0 or later; compute modes cannot mix on one GPU.
- cuda
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