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ReleaseHive

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AI Systems Performance Engineering: Optimizing Model Training and Inference Workloads with GPUs, CUDA, and PyTorch By: Chris Fregly

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VA-Beatport Top 100 Downloads September FLAC-2025

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Kubernetes for Generative AI Solutions: A complete guide to designing, optimizing, and deploying Generative AI workloads on Kubernetes By: Ashok Srirama, Sukirti Gupta

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VA-Beatport Top 100 Downloads March FLAC-2025

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Optimizing Generative AI Workloads for Sustainability: Balancing Performance and Environmental Impact in Generative AI By: Ishneet Kaur Dua, Parth Girish Patel

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Mastering Power BI: Build business intelligence applications powered with DAX calculations, insightful visualizations, advanced BI techniques, and loads of data sources By: Chandraish Sinha

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Optimizing Microsoft Azure Workloads: Leverage the Well-Architected Framework to boost performance, scalability, and cost efficiency By: Rithin Skaria

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Azure Security For Critical Workloads: Implementing Modern Security Controls for Authentication, Authorization and Auditing By: Sagar Lad

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Modern Data Protection: Ensuring Recoverability of All Modern Workloads By: W Curtis Preston

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Intelligent Workloads at the Edge: Deliver cyber-physical outcomes with data and machine learning using AWS IoT Greengrass By: Indraneel Mitra, Ryan Burke

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Optimizing Databricks Workloads: Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads By: Anirudh Kala, Anshul Bhatnagar, Sarthak Sarbahi

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