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 for

This 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.