GPU and cloud computing — NVIDIA-Certified Professional Accelerated Data Science

The official NVIDIA documentation our GPU and cloud computing practice questions are cited to. Review the primary sources, then practise.

Official references for this objective

Nvidia — DGX Platform: Built for Enterprise AI | NVIDIA

on premises, colocated , rented from managed service providers , in private clouds , and more
Nvidia — NVIDIA High-Performance Computing | Advance Science

NVIDIA Powers Over 400 of the World’s 500 Fastest Supercomputers NVIDIA technologies power 81% of the TOP500 supercomputing list
Nvidia — NVIDIA NGC | NVIDIA

Software from the NGC catalog runs on bare-metal servers, Kubernetes, or on virtualized environments and can be deployed on premises, in the cloud, or at
Nvidia — Virtual GPU Solutions for AI and Graphics | NVIDIA Virtual GPUs

NVIDIA RTX Virtual Workstations are available from major cloud providers, offering simplified configurations and management, making it possible to spin up a VM in minutes.
Nvidia — Accelerated Computing Solutions | NVIDIA

data processing units , which accelerate the network, storage and security services that are central to cloud native and cloud computing frameworks
Nvidia — Accelerating the Next Wave of AI Innovation | NVIDIA Data Center Products

NVIDIA MGX™ is a modular reference architecture for accelerated computing that supports hundreds of GPU, DPU, CPU, storage, and networking combinations
Nvidia — MGX Platform for Modular Server Design | NVIDIA

From single-node servers to rack-scale AI factories, NVIDIA MGX reduces engineering costs, shortens time to market, and delivers multi-generational compatibility