NVIDIA RAPIDSNVIDIA
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Related Products
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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.
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About
Streamlit. The fastest way to build and share data apps. Turn data scripts into sharable web apps in minutes. All in Python. All for free. No front-end experience required. Streamlit combines three simple ideas. Embrace Python scripting. Build an app in a few lines of code with our magically simple API. Then see it automatically update as you save the source file. Weave in interaction. Adding a widget is the same as declaring a variable. No need to write a backend, define routes, handle HTTP requests, etc. Deploy instantly. Use Streamlit’s sharing platform to effortlessly share, manage, and collaborate on your apps. A minimal framework for powerful apps. Face-GAN explorer. App that uses Shaobo Guan’s TL-GAN project from Insight Data Science, TensorFlow, and NVIDIA's PG-GAN to generate faces that match selected attributes. Real time object detection. An image browser for the Udacity self-driving-car dataset with real-time object detection.
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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
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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
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Audience
Enterprises in search of a solution to execute end-to-end data science and analytics pipelines entirely on GPUs
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Audience
Engineers looking for an open-source app framework to create performant apps in only a few hours
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Support
Phone Support
Supported
24/7 Live Support
Not Supported
Online
Supported
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Support
Phone Support
Not Supported
24/7 Live Support
Not Supported
Online
Not Supported
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API
Offers API
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API
Offers API
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Screenshots and Videos |
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Pricing
No information available.
Free Version
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Free Trial
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Pricing
No information available.
Free Version
Not Supported
Free Trial
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Reviews/
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Reviews/
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Pros & Cons from Real UsersPros
Cons
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Training
Documentation
Supported
Webinars
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Live Online
Supported
In Person
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Training
Documentation
Not Supported
Webinars
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Live Online
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In Person
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Company InformationNVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids
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Company InformationStreamlit
United States
www.streamlit.io
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Categories |
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Integrations
Gradient
Supported
Apache Spark
Supported
Azure Marketplace
Not Supported
Capital One Spark Business Banking
Supported
ConfidentialMind
Not Supported
Databricks
Supported
HEAVY.AI
Supported
HPE Ezmeral Data Fabric
Supported
Jamba
Not Supported
JarvisLabs.ai
Not Supported
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Integrations
Gradient
Supported
Apache Spark
Not Supported
Azure Marketplace
Supported
Capital One Spark Business Banking
Not Supported
ConfidentialMind
Supported
Databricks
Not Supported
HEAVY.AI
Not Supported
HPE Ezmeral Data Fabric
Not Supported
Jamba
Supported
JarvisLabs.ai
Supported
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