NVIDIA DGX-2
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NVIDIA DGX-2
By NVIDIA
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3.4 out of 5 stars
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NVIDIA DGX-2 Reviews & Product Details

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What do you like best about NVIDIA DGX-2?

The NVIDIA DGX-2 is an amazing product & quality is good Review collected by and hosted on G2.com.

What do you dislike about NVIDIA DGX-2?

No Dislike for the now The NVIDIA DGX-2 i Review collected by and hosted on G2.com.

Recommendations to others considering NVIDIA DGX-2:

nil Review collected by and hosted on G2.com.

What problems is NVIDIA DGX-2 solving and how is that benefiting you?

Till Now No Problems Review collected by and hosted on G2.com.

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NVIDIA DGX-2 Overview

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NVIDIA DGX-2 Details
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NVIDIA DGX-2 Community
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Seller Details
Seller
NVIDIA
Year Founded
1993
HQ Location
Santa Clara, CA
Twitter
@nvidia
2,322,755 Twitter followers
LinkedIn® Page
www.linkedin.com
36,197 employees on LinkedIn®
Ownership
NVDA
Total Revenue (USD mm)
$16,675
Description

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

Recent NVIDIA DGX-2 Reviews

Nikhil J.
NJ
Nikhil J.Enterprise (> 1000 emp.)
5.0 out of 5
"Explosive power machine for data Scientists"
The computation power is great I mean I think they have used quantam computing and other advanced things to build this and the time taken for trai...
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Verified User
G
Verified UserEnterprise (> 1000 emp.)
3.5 out of 5
"Great video graphics card"
Fast and clear reaolution, for graphic design and hd movies
Read more
Verified User
G
Verified User
2.5 out of 5
"WORLD’S MOST POWERFUL AI SYSTEM, holds true to the tagline"
Scalable architecture of NVIDIA NVSwitch
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3 out of 4 Total Reviews for NVIDIA DGX-2

3.4 out of 5
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3 out of 4 Total Reviews for NVIDIA DGX-2
3.4 out of 5
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3 out of 4 Total Reviews for NVIDIA DGX-2
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Nikhil J.
NJ
Associate Team Lead
Enterprise(> 1000 emp.)
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What do you like best about NVIDIA DGX-2?

The computation power is great I mean I think they have used quantam computing and other advanced things to build this and the time taken for training the deep learning model is very low I mean almost 100 + times than cpu Review collected by and hosted on G2.com.

What do you dislike about NVIDIA DGX-2?

The cost looks too much on the higher side and it will be useful only when there is less time required to do so and it should be on pay as go model too for small enterprises too Review collected by and hosted on G2.com.

What problems is NVIDIA DGX-2 solving and how is that benefiting you?

We are trying to work on the Deep learning problems in healthcare where we have multiple models for training but again AWS is not giving that much speed even when we are having a good configuration Review collected by and hosted on G2.com.

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Enterprise(> 1000 emp.)
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What do you like best about NVIDIA DGX-2?

Fast and clear reaolution, for graphic design and hd movies Review collected by and hosted on G2.com.

What do you dislike about NVIDIA DGX-2?

Turns out to be a little pricey, maybe if the manufacture.can.provide more hw oriented to cuatomer needs Review collected by and hosted on G2.com.

Recommendations to others considering NVIDIA DGX-2:

Make sure your pc.meets the minimun requirements Review collected by and hosted on G2.com.

What problems is NVIDIA DGX-2 solving and how is that benefiting you?

Graphics and hd video player Review collected by and hosted on G2.com.

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Verified User
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Review source: G2 invite
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What do you like best about NVIDIA DGX-2?

Scalable architecture of NVIDIA NVSwitch Review collected by and hosted on G2.com.

What do you dislike about NVIDIA DGX-2?

Did not really have a thorough testing phase in order to determine whether there was something that I disliked. Review collected by and hosted on G2.com.

What problems is NVIDIA DGX-2 solving and how is that benefiting you?

Proof of concept application for machine learning model training Review collected by and hosted on G2.com.

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