Multi-Process Service
AI overview
Sign in and the AI will write an overview from our coverage.
Headlines · 1
- CUDA 13.4 Brings Memory-Enforced GPU Sharing to Kubernetes
NVIDIA Technical Blog says CUDA 13.4 adds transparent, application-aware memory enforcement for GPU time-sharing while retaining the SM-sharing compute mode available through Multi-Process Service. Workloads can request an exact memory allocation or a guaranteed minimum with optional burst capacity, and the new open-source GPU Fractioning Operator applies those limits and compute modes in Kubernetes through pod annotations. NVIDIA also says KAI Scheduler v0.18.0 can select GPU fractions and write the required annotations, though no independent test results were supplied.
NVIDIA Technical Blog · 🔥 0
Experience and discussion from the community
Share my Multi-Process Service experienceAsk about Multi-Process Service
Nobody has shared their experience with Multi-Process Service yet.