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2025-11-26 18:04:53 +01:00
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# RunPod Pod Configuration
# Used by service_runpod_control.sh
#
# Usage:
# service_runpod_control.sh create # Create pod from this config
# service_runpod_control.sh get # Show pod status
# service_runpod_control.sh start # Start the pod
# service_runpod_control.sh stop # Stop the pod
# service_runpod_control.sh remove # Delete the pod
pod:
# Required fields
name: "runpod-ai-orchestrator"
gpuType: "NVIDIA GeForce RTX 4090"
gpuCount: 1
# Template and volume IDs (from RunPod dashboard)
templateId: "runpod-ai-orchestrator"
networkVolumeId: "runpod-ai-orchestrator"
imageName: "dev.pivoine.art/valknar/runpod-ai-orchestrator:latest"
# Exposed ports
ports:
- "22/tcp"
# Optional: Resource limits
# containerDiskSize: 20 # GB (default: 20)
# volumeSize: 1 # GB (default: 1)
# volumePath: "/runpod" # Mount path
# mem: 20 # Minimum memory GB
# vcpu: 1 # Minimum vCPUs
# Optional: Cloud selection
# secureCloud: false # Use secure cloud only
# communityCloud: false # Use community cloud only
# Optional: Custom image (overrides template)
# imageName: "runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04"
# Optional: Environment variables
# env:
# - "HF_TOKEN=your_token_here"
# - "CUSTOM_VAR=value"