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NVIDIA GPU Cloud (NGC)

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About NVIDIA GPU Cloud (NGC)

NVIDIA GPU Cloud (NGC) is a software platform from NVIDIA that provides access to GPU-improved AI software, enterprise services, and support. It includes modern generative AI models, a repository of GPU-improved applications, and enterprise cloud services so users can use high-performance computing capabilities. NGC serves as a software hub for AI, digital twins, and high-performance computing (HPC). Users can access NVIDIA's computing leadership and benefit from tailored enterprise services. Key capabilities: GPU-improved AI software Enterprise cloud services Access to generative AI models Support for digital twins High-performance computing applications Best for: data scientists and developers that need capable computational resources for AI and machine learning projects.

NVIDIA GPU Cloud (NGC) Details

Vendor
NVIDIA
Year Launched
1993
Location
2788 San Tomas Expressway Santa Clara, CA 95051
Deployment
cloud, on premise, windows, linux
Training Options
documentation, videos, community
Countries Served
All Countries
Languages
Nvidia Gpu Cloud (NGC) in Category Deep Learning by Nvidia in the following languages: English, Chinese (Simplified), Japanese, Korean, German, French, Spanish, Italian, Dutch.
Users
AI/ML Engineers, Data Scientists, Researchers, IT and DevOps Teams, Enterprises
Industries Served
Healthcare, Financial Services, Manufacturing, Higher Education & Research, Government, Media & Entertainment, Telecommunications, Retail & E-commerce
Tags
Deep Learning, NVIDIA GPU Cloud (NGC)

NVIDIA GPU Cloud (NGC)'s In-App Market Place

Does NVIDIA GPU Cloud (NGC) have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (Fr), CNY (¥), SEK (kr)

Pros & Cons

  • Exceptional GPU power enhances AI and gaming performance
  • Smooth user experience with preconfigured Docker containers
  • Versatile integration across industries like education, media, and defense
  • Regular updates and driver support keep systems optimized
  • Simplifies deployment of machine learning and deep learning projects
  • Requires baseline technical knowledge for effective usage
  • Some outdated integrations may limit functionality
  • Subscription costs can be prohibitive for casual users
  • Limited compatibility with legacy systems or older setups
  • Demands high-end hardware for optimal results

NVIDIA GPU Cloud (NGC)'s Support Options

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