GPU Infrastructure Engineering: Designing and Operating High-Performance Platforms for AI Workloads

Imagine walking into your data center after a system failure. Alarms flash, training jobs halt, and teams demand answers. Do you guess blindly or follow a proven framework? Without a solid blueprint, you face constant fires and soaring costs. You need a better path to transform chaos into proactive mastery.What's inside- Hardware: Master thermal limits, PCIe allocation, and storage arrays.- Networking: Build low-latency InfiniBand fabrics with Remote Direct Memory Access.- Software: Tune Linux kernels and configure headless enterprise drivers.- Orchestration: Manage GPU containers and scale clusters using Kubernetes.- Operations: Build telemetry stacks, execute rolling updates, and design disaster recovery.Who it's meant forThis book targets infrastructure engineers, systems administrators, and platform architects managing accelerated platforms, from single racks to multi-tenant data centers.Stop leaving your platform reliability to chance. Master advanced infrastructure engineering, eliminate costly bottlenecks, and secure your computational future today. Grab your copy now.