---
description: Get detailed information about NVIDIA GPU Cloud (NGC) and how it can help you meet your business needs. Learn more about NVIDIA GPU Cloud (NGC) price, benefits, and disadvantages for businesses in Singapore.
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title: NVIDIA GPU Cloud (NGC) Pricing, Cost & Reviews - Capterra Singapore 2026
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Breadcrumb: [Home](/) > [Deep Learning Software](/directory/31104/deep-learning/software) > [NVIDIA GPU Cloud (NGC)](/software/171055/digits)

# NVIDIA GPU Cloud (NGC)

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> GPU-accelerated platform enables data scientists to manage data as well as to design and train neural network models.
> 
> Verdict: Rated **4.5/5** by 25 users. Top-rated for **Likelihood to recommend**.

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## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.5/5** | 25 Reviews |
| Ease of Use | 4.0/5 | Based on overall reviews |
| Customer Support | 4.1/5 | Based on overall reviews |
| Value for Money | 4.1/5 | Based on overall reviews |
| Features | 4.7/5 | Based on overall reviews |
| Recommendation percentage | 80% | (8/10 Likelihood to recommend) |

## About the vendor

- **Company**: Mellanox Technologies, Inc.
- **Location**: Santa Clara, US

## Commercial Context

- **Pricing model**: Per Feature
- **Target Audience**: Self Employed
- **Supported Languages**: English
- **Available Countries**: United States

## Features

- Model Training
- Neural Network Modeling

## Category

- [Deep Learning Software](https://www.capterra.com.sg/directory/31104/deep-learning/software)

## Alternatives

1. [Anaconda](https://www.capterra.com.sg/software/191760/anaconda) — 4.6/5 (86 reviews)
2. [Labellerr](https://www.capterra.com.sg/software/201456/labellerr) — 4.6/5 (17 reviews)
3. [Amazon Rekognition](https://www.capterra.com.sg/software/1010593/amazon-rekognition) — 4.5/5 (2 reviews)
4. [h2o](https://www.capterra.com.sg/software/158760/h2o) — 4.6/5 (10 reviews)
5. [Intel Deep Learning Training Tool](https://www.capterra.com.sg/software/171054/deep-learning-training-tool) — 4.8/5 (6 reviews)

## Reviews

### "Amazing AI cloud" — 5.0/5

> **infant** | *7 August 2024* | Information Technology & Services | Recommendation rating: 9.0/10
> 
> **Pros**: We have created our first AI GPU cloud using the NVIDIA A100 DGX machines which have very high network bandwidth. All the necessary packages required can be easily pulled from the NGC by our data scientists which reduces their time in making unnecessary extra configurations
> 
> **Cons**: Since it is very new technology , no clear documents or blogs available in internet.NVIDIA support team is taking a bit longer time for any cases logged \& there should be some clear documentation required. Equal distribution of workloads to all GPU's for a instance needs to be improved.
> 
> Overall experience is amazing \& we are new to GPU cloud and every day we are learning a lot. Some new issues which even NVIDIA also sees first time.

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### "High-performance NVIDIA GPU Cloud at your fingertips" — 5.0/5

> **PHYLLIS WANJIKU** | *28 June 2024* | Furniture | Recommendation rating: 9.0/10
> 
> **Pros**: Best at accessing powerful NVIDIA GPUs in the cloud, significantly accelerating workflows and training times for large projects.
> 
> **Cons**: It has fewer services and has higher costs compared to other cloud providers which could be a drawback for developers needing a more comprehensive solution.
> 
> Overall, NGC excels as a specialized tool for deep learning tasks. It feels like having a high-performance supercomputer at your fingertips, a beast at tackling complex neural networks  However, NGC is laser-focused on GPU processing. If you need a more general-purpose cloud platform with broader services like storage or databases, you might need to look elsewhere. For this reason, it will leave holes in your pockets.

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### "Variable projects" — 5.0/5

> **keith** | *5 August 2024* | Computer Hardware | Recommendation rating: 10.0/10
> 
> **Pros**: You can work on various ai without paying for all the equipment.
> 
> **Cons**: Nothing,  a little buggy but they have a great base to work with.
> 
> Easy to use, still a little buggy but its great.

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### "From Virtual Presentations to Tech Innovations: My Journey with NVIDIA GPU Cloud" — 4.0/5

> **Daniel** | *1 October 2023* | Education Management | Recommendation rating: 8.0/10
> 
> **Pros**: I've honestly been blown away by NVIDIA GPU Cloud (NGC). It's super handy, and you can tell it's keeping up with the latest tech. One thing I especially liked was how, in situations like interviews or conferences, the system just makes things easier for you. If you've ever tried to read something while attempting to maintain eye contact with the camera, you'll know what I mean. Thanks to its AI, NGC takes care of that, making you feel more at ease and everything just flows better. You genuinely feel like the tech is working for you, not the other way around.
> 
> **Cons**: What I would have loved about NVIDIA GPU Cloud (NGC) is if it was a bit more friendly to mid-range PCs. I know a few folks who'd be keen to try it out, but their computers just don't meet the mark. Of course, tech is always pushing forward, but not everyone has a top-notch PC at home. It'd be great if, in the future, it could be more inclusive for everyone.
> 
> I used NVIDIA GPU Cloud (NGC) in my virtual classes, and  did it help with my presentations\! Honestly, I'm not much of a talker, so any assistance is appreciated. NVIDIA never ceases to amaze me with what they roll out. I'm always on the lookout for their next big thing because, seriously, their stuff is always worth it.

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### "Improve triste for industry" — 3.0/5

> **Dag** | *2 December 2022* | Computer & Network Security | Recommendation rating: 7.0/10
> 
> **Pros**: Enhance unlimited on-demand computing: Virtual machines, now available anywhere at any time, can be scaled up or down as needed. Collect system log files automatically \!.Easy UpdatesThe latest hardware, software, and services are just a click away. Collect its logs if the machines have critical or error encountered\!Flexible PricingFree trials, a wide range of pricing and leasing options are available.This is not open to everyone. Please improve this\!
> 
> **Cons**: Artificial intelligence is not improved or at least more sophisticated and the problem is also that when it does not solve the problem. So why don't you collect more diagnosis from your side?

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## Links

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