NVIDIA GPU-Optimized AMI vs. NVIDIA RAPIDS Comparison


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About The NVIDIA GPU-Optimized AMI is a virtual machine image for accelerating your GPU accelerated Machine Learning, Deep Learning, Data Science and HPC workloads. Using this AMI, you can spin up a GPU-accelerated EC2 VM instance in minutes with a pre-installed Ubuntu OS, GPU driver, Docker and NVIDIA container toolkit. This AMI provides easy access to NVIDIA's NGC Catalog, a hub for GPU-optimized software, for pulling & running performance-tuned, tested, and NVIDIA certified docker containers. The NGC catalog provides free access to containerized AI, Data Science, and HPC applications, pre-trained models, AI SDKs and other resources to enable data scientists, developers, and researchers to focus on building and deploying solutions. This GPU-optimized AMI is free with an option to purchase enterprise support offered through NVIDIA AI Enterprise. For how to get support for this AMI, scroll down to 'Support Information'	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 Supported Cloud Not 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 Organizations and individuals in need of an optimized environment for running deep learning and data science containers	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 $3.06 per hour 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 Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Supported In Person Supported
Company Information Amazon Founded: 1994 United States aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq	Company Information NVIDIA Founded: 1993 United States developer.nvidia.com/rapids
Alternatives Runpod	Alternatives NVIDIA Magnum IO NVIDIA
CoreWeave	Cloudera Data Science Workbench Cloudera
Tencent Cloud GPU Service Tencent	Azure Data Science Virtual Machines Microsoft
NVIDIA NGC NVIDIA	Google Cloud Deep Learning VM Image Google
Bright Cluster Manager NVIDIA View All	Domino Enterprise AI Platform Domino Data Lab View All
Categories AI Infrastructure Supported Cloud GPU Supported Deep Learning Supported HPC Supported Neural Network Supported	Categories AI Infrastructure Supported Data Science Supported

Integrations AWS Marketplace Supported Amazon Web Services (AWS) Supported Anaconda Not Supported Apache Spark Not Supported Azure Marketplace Supported Databricks Not Supported Domino Enterprise AI Platform Not Supported Gaia Supported Gradient Not Supported HEAVY.AI Not Supported HPE Ezmeral Data Fabric Not Supported Iguazio Not Supported Kinetica Not Supported NVIDIA FLARE Not Supported Nuclio Not Supported OpenLIT Supported Plotly Dash Not Supported Show More Integrations View All 6 Integrations	Integrations AWS Marketplace Not Supported Amazon Web Services (AWS) Not Supported Anaconda Supported Apache Spark Supported Azure Marketplace Not Supported Databricks Supported Domino Enterprise AI Platform Supported Gaia Not Supported Gradient Supported HEAVY.AI Supported HPE Ezmeral Data Fabric Supported Iguazio Supported Kinetica Supported NVIDIA FLARE Supported Nuclio Supported OpenLIT Not Supported Plotly Dash Supported Show More Integrations View All 17 Integrations
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