← NVIDIA-Certified Professional Accelerated Data Science
NVIDIA · objective · 16% of the exam
GPU and cloud computing
Exam objectives are the official skill domains NVIDIA-Certified Professional Accelerated Data Science tests. Below are the official NVIDIA docs our questions on this objective cite — review them, then practise.
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Official references for this objective
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Nvidia — DGX Platform: Built for Enterprise AI | NVIDIA
on premises, colocated , rented from managed service providers , in private clouds , and more
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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
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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
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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.
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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
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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
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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