End-to-end AI deployment decision system combining real model benchmarking, system-level optimization, and infrastructure-aware trade-off analysis (latency, cost, energy, carbon).
mlops inference-optimization fastapi streamlit onnx-runtime carbon-aware-computing pareto-optimization ai-systems-design ai-infrastructure-development deployment-optimization
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Updated
May 12, 2026 - Python