dhi.io/kserve-storage-initializer
KServe Storage Initializer
Downloads model artifacts from various storage backends (S3, GCS, Azure, etc.) before KServe model serving containers start.
pushed 14 days ago
linux/amd64, linux/arm64
103.48 MB
for linux/amd64
191
for linux/amd64
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About KServe Storage Initializer
The KServe Storage Initializer is a utility component that runs as an init container in KServe deployments to download model artifacts from various storage backends before the main model serving container starts.
It supports downloading models from:
- Cloud Storage: Amazon S3, Google Cloud Storage, Azure Blob Storage
- Distributed Filesystems: HDFS
- Version Control: Git repositories
- Local Storage: PVC, NFS, and other Kubernetes storage classes
- Model Registries: MLflow, and other registry systems
The storage initializer ensures that model files are available in the correct location before the inference server starts, enabling seamless model deployment across different storage systems.
KServe is an incubation-stage project of the LF AI & Data Foundation that provides a Kubernetes Custom Resource Definition for serving machine learning models with high abstraction interfaces for popular ML frameworks.
For more details, visit:
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