➀ The rise of AI Neoclouds and their impact on the computing industry; ➁ The different types of providers in the AI Neocloud market, including traditional hyperscalers, Neocloud giants, emerging Neoclouds, and brokers/platforms/aggregators; ➂ Key considerations for building an AI Neocloud, such as cluster BoM, deployment, funding, and daily operations; ➃ Optimization strategies for the BoM, including CPU selection, memory, storage, and network considerations; ➄ Best practices for network management and software packages, including driver installation, user experience, and software requirements; ➅ Multi-tenancy considerations and best practices for isolation and storage management; ➆ Monitoring and common errors in Neocloud operations; ➇ Tips and testing for Neocloud operations, including SLURM topology and NCCL testing; ➈ Cluster deployment and acceptance testing, as well as daily operations and common issues.