- Add Prometheus, Grafana, and Loki monitoring stack - Include pre-configured dashboards for ML metrics and logs - Add Podman container support with security policies - Implement ML runtime environments for multiple frameworks - Add containerized ML project templates (PyTorch, TensorFlow, etc.) - Include secure runner with isolation and resource limits - Add comprehensive log aggregation and alerting
32 lines
617 B
YAML
32 lines
617 B
YAML
---
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# Ultra-Fast Minimal ML Environment
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# Optimized for size and speed with mamba
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name: ml_env_minimal
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channels:
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- pytorch
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- conda-forge
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dependencies:
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# Core Python
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- python=3.10
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# Essential ML Stack (conda-optimized binaries)
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- pytorch>=2.0.0
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- torchvision>=0.15.0
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- numpy>=1.24.0
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- pandas>=2.0.0
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- scikit-learn>=1.3.0
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# Lightweight visualization
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- matplotlib>=3.7.0
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# Development essentials
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- pip
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- setuptools
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- wheel
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# GPU support (conditional - will be skipped if not available)
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- pytorch-cuda>=11.7
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# Only essential pip packages
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- pip:
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- tqdm>=4.65.0
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