A data scientist deploys a deep learning model on an Fsv2 virtual machine. Data analysis is slow. You need to recommend which virtual machine series the data scientist must use to ensure that data…

The correct answer is A. ND. The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for graphics-intensive workloads, helping customers to fuel innovation through scenarios like high- end remote visualisation, deep learning and predictive analytics. The ND-series is…

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Question

A data scientist deploys a deep learning model on an Fsv2 virtual machine. Data analysis is slow. You need to recommend which virtual machine series the data scientist must use to ensure that data analysis occurs as quickly as possible. Which series should you recommend?

Options

AND
BB
CDC
DEv3

How the community answered

(33 responses)

A
73% (24)
B
15% (5)
C
3% (1)
D
9% (3)

Explanation

The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for graphics-intensive workloads, helping customers to fuel innovation through scenarios like high- end remote visualisation, deep learning and predictive analytics. The ND-series is focused on training and inference scenarios for deep learning. It uses the NVIDIA Tesla P40 GPUs. The latest version - NDv2 - features the NVIDIA Tesla V100 GPUs. https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/

Topics

#GPU VM#ND-series#deep learning#compute optimization

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