NVIDIA NGC vs. NVIDIA RAPIDS Comparison


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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.	About The RAPIDS suite of software libraries, built on CUDA-X AI, gives you the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs. It relies on NVIDIA® CUDA® primitives for low-level compute optimization, but exposes that GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces. RAPIDS also focuses on common data preparation tasks for analytics and data science. This includes a familiar DataFrame API that integrates with a variety of machine learning algorithms for end-to-end pipeline accelerations without paying typical serialization costs. RAPIDS also includes support for multi-node, multi-GPU deployments, enabling vastly accelerated processing and training on much larger dataset sizes. Accelerate your Python data science toolchain with minimal code changes and no new tools to learn. Increase machine learning model accuracy by iterating on models faster and deploying them more frequently.
Platforms Supported Windows Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Companies and enterprises interested in a deep learning and scientific computing platform	Audience Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
Support Phone Support Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Not Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
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	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 Supported Webinars Not Supported Live Online Not Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Supported
Company Information NVIDIA Founded: 1993 United States ngc.nvidia.com	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/rapids
Alternatives NVIDIA GPU-Optimized AMI Amazon	Alternatives NVIDIA Magnum IO NVIDIA
Bright Cluster Manager NVIDIA	Cloudera Data Science Workbench Cloudera
NetApp AIPod NetApp	Azure Data Science Virtual Machines Microsoft
NVIDIA HPC SDK NVIDIA	Google Cloud Deep Learning VM Image Google
Google Cloud Deep Learning VM Image Google View All	Domino Enterprise AI Platform Domino Data Lab View All
Categories AI Infrastructure Supported Deep Learning Supported HPC Supported	Categories AI Infrastructure Supported Data Science Supported
Show More Features Deep Learning Features Convolutional Neural Networks Not Supported Document Classification Not Supported Image Segmentation Not Supported ML Algorithm Library Not Supported Model Training Supported Neural Network Modeling Supported Self-Learning Not Supported Visualization Not Supported
Integrations Domino Enterprise AI Platform Supported Amazon Web Services (AWS) Supported Anaconda Not Supported Apache Spark Not Supported Capital One Spark Business Banking Not Supported Databricks Not Supported Gradient Not Supported HEAVY.AI Not Supported HPE Ezmeral Data Fabric Not Supported IBM Cloud Not Supported Iguazio Not Supported NVIDIA GPU-Optimized AMI Supported Nuclio Not Supported Nutanix Enterprise AI Supported Plotly Dash Not Supported PyTorch Supported TensorFlow Supported Show More Integrations View All 6 Integrations	Integrations Domino Enterprise AI Platform Supported Amazon Web Services (AWS) Not Supported Anaconda Supported Apache Spark Supported Capital One Spark Business Banking Supported Databricks Supported Gradient Supported HEAVY.AI Supported HPE Ezmeral Data Fabric Supported IBM Cloud Supported Iguazio Supported NVIDIA GPU-Optimized AMI Not Supported Nuclio Supported Nutanix Enterprise AI Not Supported Plotly Dash Supported PyTorch Not Supported TensorFlow Not Supported Show More Integrations View All 17 Integrations
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