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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

NVIDIA GPU Cloud (NGC) serves as a cloud platform that harnesses GPU acceleration for deep learning and scientific computations. It offers a comprehensive catalog of fully integrated containers for deep learning frameworks designed to optimize performance on NVIDIA GPUs, whether in single or multi-GPU setups. Additionally, the NVIDIA train, adapt, and optimize (TAO) platform streamlines the process of developing enterprise AI applications by facilitating quick model adaptation and refinement. Through a user-friendly guided workflow, organizations can fine-tune pre-trained models with their unique datasets, enabling them to create precise AI models in mere hours instead of the traditional months, thereby reducing the necessity for extensive training periods and specialized AI knowledge. If you're eager to dive into the world of containers and models on NGC, you’ve found the ideal starting point. Furthermore, NGC's Private Registries empower users to securely manage and deploy their proprietary assets, enhancing their AI development journey.

Description

The RAPIDS software library suite, designed on CUDA-X AI, empowers users to run comprehensive data science and analytics workflows entirely on GPUs. It utilizes NVIDIA® CUDA® primitives for optimizing low-level computations while providing user-friendly Python interfaces that leverage GPU parallelism and high-speed memory access. Additionally, RAPIDS emphasizes essential data preparation processes tailored for analytics and data science, featuring a familiar DataFrame API that seamlessly integrates with various machine learning algorithms to enhance pipeline efficiency without incurring the usual serialization overhead. Moreover, it supports multi-node and multi-GPU setups, enabling significantly faster processing and training on considerably larger datasets. By incorporating RAPIDS, you can enhance your Python data science workflows with minimal code modifications and without the need to learn any new tools. This approach not only streamlines the model iteration process but also facilitates more frequent deployments, ultimately leading to improved machine learning model accuracy. As a result, RAPIDS significantly transforms the landscape of data science, making it more efficient and accessible.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Domino Enterprise AI Platform Yes 
Amazon Web Services (AWS) Yes 
Anaconda No 
Apache Spark No 
Capital One Spark Business Banking No 
Databricks No 
Gradient No 
HEAVY.AI No 
HPE Ezmeral Data Fabric No 
Iguazio No 
Kinetica No 
NVIDIA FLARE No 
NVIDIA GPU-Optimized AMI Yes 
Nuclio No 
Nutanix Enterprise AI Yes 
Plotly Dash No 
PyTorch Yes 

Integrations

Domino Enterprise AI Platform Yes 
Amazon Web Services (AWS) No 
Anaconda Yes 
Apache Spark Yes 
Capital One Spark Business Banking Yes 
Databricks Yes 
Gradient Yes 
HEAVY.AI Yes 
HPE Ezmeral Data Fabric Yes 
Iguazio Yes 
Kinetica Yes 
NVIDIA FLARE Yes 
NVIDIA GPU-Optimized AMI No 
Nuclio Yes 
Nutanix Enterprise AI No 
Plotly Dash Yes 
PyTorch No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

ngc.nvidia.com

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/rapids

Product Features

Deep Learning

Convolutional Neural Networks No 
Document Classification No 
Image Segmentation No 
ML Algorithm Library No 
Model Training Yes 
Neural Network Modeling Yes 
Self-Learning No 
Visualization No 

HPC

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Alternatives

Alternatives