--- description: ¿Qué piensan los usuarios de NVIDIA GPU Cloud (NGC)? Lee las reseñas y opiniones verificadas, descubre sus características y el nivel de usabilidad, consulta los precios y conoce las ventajas y desventajas de NVIDIA GPU Cloud (NGC) gracias a Capterra Colombia. image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: NVIDIA GPU Cloud (NGC) - Opiniones, precios y características - Capterra Colombia 2026 --- Breadcrumb: [Inicio](/) > [Herramientas de aprendizaje profundo](/directory/31104/deep-learning/software) > [NVIDIA GPU Cloud (NGC)](/software/171055/digits) # NVIDIA GPU Cloud (NGC) Canonical: https://www.capterra.co/software/171055/digits Página: 1 de 2\ Siguiente: [Página siguiente](https://www.capterra.co/software/171055/digits?page=2) > La plataforma acelerada por GPU permite a los científicos de datos administrar datos, así como también diseñar y capacitar modelos de redes neuronales. > > Veredicto: 25 usuarios lo han valorado con **4.5/5**. De los mejores valorados en **Probabilidad de recomendación**. ----- ## Estadísticas y valoraciones rápidas | Métrica | Calificación | Detalles | | **En general** | **4.5/5** | 25 Opiniones | | Facilidad de uso | 4.0/5 | Basado en las opiniones generales | | Asistencia al cliente | 4.1/5 | Basado en las opiniones generales | | Relación calidad-precio | 4.1/5 | Basado en las opiniones generales | | Funciones | 4.7/5 | Basado en las opiniones generales | | Porcentaje de recomendaciones | 80% | (8/10 Probabilidad de recomendación) | ## Sobre el proveedor - **Empresa**: Mellanox Technologies, Inc. - **Ubicación**: Santa Clara, EE. UU. ## Contexto comercial - **Público objetivo**: Trabajador autónomo - **Idiomas admitidos**: inglés - **Países disponibles**: Estados Unidos ## Funciones - Formación de modelos - Modelado de red neuronal ## Categoría - [Herramientas de aprendizaje profundo](https://www.capterra.co/directory/31104/deep-learning/software) ## Alternativas 1. [h2o](https://www.capterra.co/software/158760/h2o) — 4.6/5 (10 reviews) 2. [Keras](https://www.capterra.co/software/171047/keras) — 4.6/5 (40 reviews) 3. [Appen](https://www.capterra.co/software/210755/appen) — 4.1/5 (40 reviews) 4. [Wolfram Mathematica](https://www.capterra.co/software/171048/wolfram-mathematica) — 4.6/5 (169 reviews) 5. [DataRobot](https://www.capterra.co/software/179303/datarobot) — 4.8/5 (5 reviews) ## Opiniones ### "From Virtual Presentations to Tech Innovations: My Journey with NVIDIA GPU Cloud" — 4.0/5 > **Daniel** | *1 de octubre de 2023* | Administración educativa | Valoración de la recomendación: 8.0/10 > > **Puntos a favor**: 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. > > **Puntos en contra**: 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 de agosto de 2024* | Tecnología y servicios de la información | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: 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 > > **Puntos en contra**: 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 de diciembre de 2022* | Seguridad informática y de redes | Valoración de la recomendación: 7.0/10 > > **Puntos a favor**: 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\! > > **Puntos en contra**: 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 de junio de 2024* | Muebles | Valoración de la recomendación: 9.0/10 > > **Puntos a favor**: Best at accessing powerful NVIDIA GPUs in the cloud, significantly accelerating workflows and training times for large projects. > > **Puntos en contra**: 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 de agosto de 2024* | Hardware informático | Valoración de la recomendación: 10.0/10 > > **Puntos a favor**: You can work on various ai without paying for all the equipment. > > **Puntos en contra**: Nothing, a little buggy but they have a great base to work with. > > Easy to use, still a little buggy but its great. ----- Página: 1 de 2\ Siguiente: [Página siguiente](https://www.capterra.co/software/171055/digits?page=2) ## Enlaces - [Ver en Capterra](https://www.capterra.co/software/171055/digits) ## Esta página se encuentra disponible en los siguientes idiomas | Local | 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 | | ----- ## Datos estructurados