NVIDIA GPU Infrastructure Fundamentals
A structured guide to NVIDIA GPU infrastructure, from CUDA to production operations
Created by Vivian Aranha
Explore the full landscape of NVIDIA GPU infrastructure, from the basics of CUDA to managing production operations. You'll see how hardware, software, networking, and orchestration come together to support AI workloads. Build a clear understanding of how these technologies interact and where to make smart platform choices.
Packt | Aug 2026 | 236 min
What You Will Learn
You'll build your knowledge step by step, starting with the core components of GPU infrastructure and moving through orchestration, networking, and MLOps. Real-world scenarios and clear comparisons help you see how each piece fits together. Visual explanations and practical examples reinforce your understanding as you progress.
Key Features
- Gain practical skills in GPU resource sharing, scheduling, and monitoring
- Understand how networking and storage support high-performance GPU clusters
- Connect MLOps and inference tools to the full AI development lifecycle
Target Audience
Ideal for system administrators, DevOps professionals, solution architects, and technical managers who want to deepen their understanding of NVIDIA GPU infrastructure. If you're moving into AI infrastructure roles or need to evaluate platform technologies, you'll find clear explanations and actionable insights. Basic IT or data center knowledge is helpful but not required.
