Next Gen HPC Big Data And AI Convergence Toward Exascale A Practical Guide To Cutting Edge Compute Storage And Interconnect For Enterprise AI And Data Science

Exascale HPC, Big Data and AI Convergence Guide, Single Copy
✔️ 294 pages, Edition 1, English, single copy for teams

This book explains the latest in high-performance computing, big data, and AI convergence toward exascale, with a focus on compute, storage, and interconnect technologies for enterprise AI and data science. It draws on European H2020 project insights and practical challenges in integrating these domains, emphasizing provisioning, resource management, and monitoring to reach exascale performance and energy efficiency.

✅ Focus on unified compute, storage, and interconnect architectures for enterprise AI
✅ Updated vision of HPC, Cloud, Big Data, and AI convergence toward exascale
✅ Practical guidance from European H2020 projects
✅ Resource provisioning, management, and monitoring emphasis
✅ Industrial and scientific use cases illustrating cross-domain needs

💡 What is the practical guide for exascale HPC used for in enterprise AI and data science? This handy resource helps teams plan, implement, and optimize converged systems. - practical guidance on cross-domain integration of HPC, Cloud, Big Data, and AI - case studies showing real-world implementation and performance gains - guidance on provisioning and monitoring resources for energy efficiency

✝️