Deployment & Scaling · Foundation
The NVIDIA AI Stack: What Sits Between Your Model and the Silicon
NVIDIA is not a cloud. It is the layer every cloud runs on. Before learning any single product, learn the six-storey stack — GPU, driver, CUDA, CUDA-X libraries, framework, microservice — and which storey a given problem lives on.
- 50 min lesson
- beginner level
- NVIDIA AI Track
- Narrated presentation
What you’ll learn
- Six-storey stack: silicon, driver/CUDA, CUDA-X libraries, framework, serving, application
- NVIDIA as the infrastructure layer under every cloud rather than a cloud itself
- GPU memory capacity and bandwidth as the primary design constraint
- Diagnose by naming the storey before changing anything
- NIM as the packaged unit of TensorRT-LLM + server + OpenAI-compatible API
- Free and rented access paths so the track needs no owned hardware
Inside this lesson
A narrated, slide-by-slide presentation with 1 prediction exercise, 1 knowledge check, 2 videos. You answer as you go, and the platform checks your work.