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Author

R. Chandupatla

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Conference Aug 2026

Risk-Calibrated Hybrid Forecasting for FinOps-Driven Cloud Cost Optimization of AI Workloads

This paper proposes a risk-calibrated forecasting framework that tackles the problem that existing cloud cost models are frequently concerned with providing point estimates and lack uncertainty awareness or operational decision support for FinOps-driven cloud cost optimization of AI workloads. The proposed approach is...

R. Chandupatla, R. Sankuratri, Jeevan Kakke et al. · 0 citations

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