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fwk-amigapython-amigamlserver

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fwk-amigapython-amigamlserver

Amiga Python ML server — model serving runtime with platform observability

pipPyPI
Version
2.13.0
Maintainers
1

fwk-amigapython-amigamlserver

Amiga Python ML server — model serving runtime with platform-native observability, A/B experiment routing, and GPU resource management.

Overview

fwk-amigapython-amigamlserver provides ML model serving infrastructure for AI/ML workloads on the Amiga platform:

  • Model registry — automatic model versioning and artifact management
  • Inference runtime — optimized serving with batching and caching
  • A/B routing — experiment traffic splitting with metric collection
  • GPU scheduling — resource-aware scheduling for GPU workloads

Installation

pip install fwk-amigapython-amigamlserver

Quick Start

from amigapython_mlserver import MLServer, ModelConfig

config = ModelConfig.from_registry("my-model", version="latest")
server = MLServer(config)
server.serve()

License

Apache 2.0

Keywords

amiga

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