NVIDIA NGC

NVIDIA NGC

NVIDIA
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About

IONOS GPU Servers provide an accelerated computing infrastructure designed to handle workloads that require significantly more processing power than traditional CPU-based systems. It integrates enterprise-grade NVIDIA GPUs such as the H100, H200, and L40s, as well as specialized AI accelerators like Intel Gaudi, enabling massive parallel processing for compute-intensive applications. GPU-accelerated instances extend cloud infrastructure with dedicated graphics processors so virtual machines can perform complex calculations and data-heavy operations much faster than conventional servers. It is particularly suitable for artificial intelligence, deep learning, and data science tasks that involve training models on large datasets or performing high-speed inference operations. It also supports big data analytics, scientific simulations, and visualization workloads such as 3D rendering or modeling that require high computational throughput.

About

NVIDIA GPU Cloud (NGC) is a GPU-accelerated cloud platform optimized for deep learning and scientific computing. NGC manages a catalog of fully integrated and optimized deep learning framework containers that take full advantage of NVIDIA GPUs in both single GPU and multi-GPU configurations. NVIDIA train, adapt, and optimize (TAO) is an AI-model-adaptation platform that simplifies and accelerates the creation of enterprise AI applications and services. By fine-tuning pre-trained models with custom data through a UI-based, guided workflow, enterprises can produce highly accurate models in hours rather than months, eliminating the need for large training runs and deep AI expertise. Looking to get started with containers and models on NGC? This is the place to start. Private Registries from NGC allow you to secure, manage, and deploy your own assets to accelerate your journey to AI.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI engineers, data scientists, and research teams who need GPU-accelerated cloud servers to train machine learning models and process large computational workloads

Audience

Companies and enterprises interested in a deep learning and scientific computing platform

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$3,990 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

IONOS
Founded: 1988
Germany
cloud.ionos.com/servers/gpu-server

Company Information

NVIDIA
Founded: 1993
United States
ngc.nvidia.com

Alternatives

Alternatives

Hyperstack

Hyperstack

Hyperstack Cloud

Categories

Categories

Deep Learning Features

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

Integrations

Amazon Web Services (AWS)
Domino Enterprise AI Platform
IONOS
Intel Gaudi Software
NVIDIA GPU-Optimized AMI
NVIDIA virtual GPU
Nutanix Enterprise AI
PyTorch
TensorFlow

Integrations

Amazon Web Services (AWS)
Domino Enterprise AI Platform
IONOS
Intel Gaudi Software
NVIDIA GPU-Optimized AMI
NVIDIA virtual GPU
Nutanix Enterprise AI
PyTorch
TensorFlow
Claim IONOS Cloud GPU Servers and update features and information
Claim IONOS Cloud GPU Servers and update features and information
Claim NVIDIA NGC and update features and information
Claim NVIDIA NGC and update features and information