What this pattern does:

This design outlines a Kubernetes architecture tailored for online serving workloads that require GPU acceleration. This design is optimized for Google Kubernetes Engine (GKE), leveraging a single GPU instance to enhance computational performance for machine learning inference, real-time analytics, or other GPU-intensive tasks.

Caveats and Consideration:

Continuous monitoring and optimization of GPU utilization and workload distribution are necessary to maintain optimal performance and avoid resource contention among Pods sharing GPU resources.

Compatibility:



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