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What is NVIDIA RAPIDS?

The RAPIDS software library suite, built on CUDA-X AI, allows users to conduct extensive data science and analytics tasks solely on GPUs. By leveraging NVIDIA® CUDA® primitives, it optimizes low-level computations while offering intuitive Python interfaces that harness GPU parallelism and rapid memory access. Furthermore, RAPIDS focuses on key data preparation steps crucial for analytics and data science, presenting a familiar DataFrame API that integrates smoothly with various machine learning algorithms, thus improving pipeline efficiency without the typical serialization delays. In addition, it accommodates multi-node and multi-GPU configurations, facilitating much quicker processing and training on significantly larger datasets. Utilizing RAPIDS can upgrade your Python data science workflows with minimal code changes and no requirement to acquire new tools. This methodology not only simplifies the model iteration cycle but also encourages more frequent deployments, which ultimately enhances the accuracy of machine learning models. Consequently, RAPIDS plays a pivotal role in reshaping the data science environment, rendering it more efficient and user-friendly for practitioners. Its innovative features enable data scientists to focus on their analyses rather than technical limitations, fostering a more collaborative and productive workflow.

What is NVIDIA Brev?

NVIDIA Brev provides developers with instant access to fully optimized GPU environments in the cloud, eliminating the typical setup challenges of AI and machine learning projects. Its flagship feature, Launchables, allows users to create and deploy preconfigured compute environments by selecting the necessary GPU resources, Docker container images, and uploading relevant project files like notebooks or repositories. This process requires minimal effort and can be completed within minutes, after which the Launchable can be shared publicly or privately via a simple link. NVIDIA offers a rich library of prebuilt Launchables equipped with the latest AI frameworks, microservices, and NVIDIA Blueprints, enabling users to jumpstart their projects with proven, scalable tools. The platform’s GPU sandbox provides a full virtual machine with support for CUDA, Python, and Jupyter Lab, accessible directly in the browser or through command-line interfaces. This seamless integration lets developers train, fine-tune, and deploy models efficiently, while also monitoring performance and usage in real time. NVIDIA Brev’s flexibility extends to port exposure and customization, accommodating diverse AI workflows. It supports collaboration by allowing easy sharing and visibility into resource consumption. By simplifying infrastructure management and accelerating development timelines, NVIDIA Brev helps startups and enterprises innovate faster in the AI space. Its robust environment is ideal for researchers, data scientists, and AI engineers seeking hassle-free GPU compute resources.

Media

Media

Integrations Supported

Alpaca
Amazon Web Services (AWS)
Apache Spark
CUDA
Capital One Spark Business Banking
Databricks
Domino Enterprise AI Platform
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
Iguazio
Llama 2
NVIDIA Isaac Sim
Nuclio
OpenAI
Plotly Dash
Python
Stable Diffusion

Integrations Supported

Alpaca
Amazon Web Services (AWS)
Apache Spark
CUDA
Capital One Spark Business Banking
Databricks
Domino Enterprise AI Platform
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
Iguazio
Llama 2
NVIDIA Isaac Sim
Nuclio
OpenAI
Plotly Dash
Python
Stable Diffusion

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.04 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/rapids

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

developer.nvidia.com/brev

Categories and Features

Data Science

Access Control
Advanced Modeling
Audit Logs
Data Discovery
Data Ingestion
Data Preparation
Data Visualization
Model Deployment
Reports

Categories and Features

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