Catalog Details
CATEGORY
scalingCREATED BY
UPDATED AT
November 23, 2024VERSION
0.0.1
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:
Recent Discussions with "meshery" Tag
- Nov 22 | Meshery CI Maintainer: Sangram Rath
- Dec 04 | Link Meshery Integrations and Github workflow or local code
- Nov 20 | Meshery Development Meeting | Nov 20th 2024
- Nov 10 | Error in "make server" and "make ui-server"
- Nov 11 | Difference in dev Environments on port 9081 and 3000
- Nov 10 | npm run lint:fix error
- Oct 30 | Getting Meshery locally using Docker Desktop for Meshery UI contribution
- Nov 07 | Meshery + GCP Connector
- Oct 24 | Getting error when using utils.SetupContextEnv() when writing tests for relationship command
- Nov 16 | Where's the Cortex Integration of Meshmap?