--- description: NVIDIA GPU Cloud (NGC) : qu'en pensent les utilisateurs ? Lisez les avis clients sur NVIDIA GPU Cloud (NGC), consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: NVIDIA GPU Cloud (NGC) - Avis, notes, prix et abonnements - Capterra Luxembourg 2026 --- Breadcrumb: [Accueil](/) > [Deep learning](/directory/31104/deep-learning/software) > [NVIDIA GPU Cloud (NGC)](/software/171055/digits) # NVIDIA GPU Cloud (NGC) Canonical: https://www.capterra.lu/software/171055/digits Page : 1/2\ Suivant: [Page suivante](https://www.capterra.lu/software/171055/digits?page=2) > Plateforme accélérée par GPU qui permet aux spécialistes des données de gérer des données ainsi que de concevoir et de former des modèles de réseaux neuronaux. > > Conclusion : 25 utilisateurs lui ont donné la note de **4.5/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**. ----- ## Statistiques et notes | Métrique | Notation | En détail | | **Note globale** | **4.5/5** | 25 Avis | | Simplicité | 4.0/5 | D'après l'ensemble des avis | | Support client | 4.1/5 | D'après l'ensemble des avis | | Rapport qualité-prix | 4.1/5 | D'après l'ensemble des avis | | Fonctionnalités | 4.7/5 | D'après l'ensemble des avis | | Pourcentage de recommandation | 80% | (8/10 Probabilité de recommander le produit) | ## À propos de l'éditeur - **Société**: Mellanox Technologies, Inc. - **Pays**: Santa Clara, É.-U. ## Contexte commercial - **Public cible**: Auto-entrepreneur - **Langues**: anglais - **Pays disponibles**: États-Unis ## Fonctionnalités - Modèle de formation - Modélisation du réseau neuronal ## Category - [Deep learning](https://www.capterra.lu/directory/31104/deep-learning/software) ## Logiciels similaires 1. [Anaconda](https://www.capterra.lu/software/191760/anaconda) — 4.6/5 (86 reviews) 2. [h2o](https://www.capterra.lu/software/158760/h2o) — 4.6/5 (10 reviews) 3. [Keras](https://www.capterra.lu/software/171047/keras) — 4.6/5 (40 reviews) 4. [Valohai](https://www.capterra.lu/software/179657/valohai) — 4.8/5 (8 reviews) 5. [cnvrg.io](https://www.capterra.lu/software/200636/cnvrg-io) — 5.0/5 (1 reviews) ## Avis ### "From Virtual Presentations to Tech Innovations: My Journey with NVIDIA GPU Cloud" — 4.0/5 > **Daniel** | *1 octobre 2023* | Gestion de l'enseignement | Taux de recommandation : 8.0/10 > > **Avantages**: 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. > > **Inconvénients**: 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. ----- ### "Amazing AI cloud" — 5.0/5 > **infant** | *7 août 2024* | Services et technologies de l'information | Taux de recommandation : 9.0/10 > > **Avantages**: 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 > > **Inconvénients**: 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. ----- ### "Improve triste for industry" — 3.0/5 > **Dag** | *2 décembre 2022* | Informatique et sécurité réseau | Taux de recommandation : 7.0/10 > > **Avantages**: 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\! > > **Inconvénients**: 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? ----- ### "High-performance NVIDIA GPU Cloud at your fingertips" — 5.0/5 > **PHYLLIS WANJIKU** | *28 juin 2024* | Meubles | Taux de recommandation : 9.0/10 > > **Avantages**: Best at accessing powerful NVIDIA GPUs in the cloud, significantly accelerating workflows and training times for large projects. > > **Inconvénients**: 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. ----- ### "Variable projects" — 5.0/5 > **keith** | *5 août 2024* | Matériel informatique | Taux de recommandation : 10.0/10 > > **Avantages**: You can work on various ai without paying for all the equipment. > > **Inconvénients**: Nothing, a little buggy but they have a great base to work with. > > Easy to use, still a little buggy but its great. ----- Page : 1/2\ Suivant: [Page suivante](https://www.capterra.lu/software/171055/digits?page=2) ## Liens - [Afficher sur Capterra](https://www.capterra.lu/software/171055/digits) ## Cette page est disponible dans les langues suivantes. | Langue | URL | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | ----- ## Données structurées