Sebastian Krüger
f981b9639c
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Add runpod.yml for declarative pod configuration with GPU type, template, network volume, and port settings. Works with service_runpod_control.sh CLI wrapper for managing RunPod instances. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
43 lines
1.3 KiB
YAML
43 lines
1.3 KiB
YAML
# RunPod Pod Configuration
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# Used by service_runpod_control.sh
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#
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# Usage:
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# service_runpod_control.sh create # Create pod from this config
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# service_runpod_control.sh get # Show pod status
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# service_runpod_control.sh start # Start the pod
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# service_runpod_control.sh stop # Stop the pod
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# service_runpod_control.sh remove # Delete the pod
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pod:
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# Required fields
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name: "runpod-ai-orchestrator"
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gpuType: "NVIDIA GeForce RTX 4090"
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gpuCount: 1
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# Template and volume IDs (from RunPod dashboard)
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templateId: "runpod-ai-orchestrator"
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networkVolumeId: "runpod-ai-orchestrator"
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# Exposed ports
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ports:
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- "22/tcp"
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# Optional: Resource limits
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# containerDiskSize: 20 # GB (default: 20)
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# volumeSize: 1 # GB (default: 1)
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# volumePath: "/runpod" # Mount path
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# mem: 20 # Minimum memory GB
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# vcpu: 1 # Minimum vCPUs
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# Optional: Cloud selection
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# secureCloud: false # Use secure cloud only
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# communityCloud: false # Use community cloud only
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# Optional: Custom image (overrides template)
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# imageName: "runpod/pytorch:2.1.0-py3.10-cuda11.8.0-devel-ubuntu22.04"
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# Optional: Environment variables
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# env:
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# - "HF_TOKEN=your_token_here"
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# - "CUSTOM_VAR=value"
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