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Description

NVIDIA Merlin equips data scientists, ML engineers, and researchers with the tools necessary to create scalable, high-performance recommendation systems. This suite includes libraries, methodologies, and various tools that simplify the process of building recommenders by tackling prevalent issues related to preprocessing, feature engineering, training, inference, and production deployment. Optimized components within Merlin facilitate the retrieval, filtering, scoring, and organization of vast data sets, often reaching hundreds of terabytes, all accessed via user-friendly APIs. The implementation of Merlin enables enhanced predictions, improved click-through rates, and quicker production deployment, making it an essential resource for professionals. As a part of NVIDIA AI, Merlin exemplifies the company's dedication to empowering innovative practitioners in their work. Furthermore, this comprehensive solution is crafted to seamlessly integrate with existing recommender systems that leverage both data science and machine learning techniques, ensuring that users can build on their current workflows effectively.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Activeeon ProActive
Anaconda
Apache Spark
Capital One Spark Business Banking
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
IBM Cloud
Iguazio
Intel Tiber AI Studio
Kinetica
NVIDIA TensorRT
Nuclio
Plotly Dash

Integrations

Activeeon ProActive
Anaconda
Apache Spark
Capital One Spark Business Banking
Databricks Data Intelligence Platform
Domino Enterprise MLOps Platform
Gradient
HEAVY.AI
HPE Ezmeral Data Fabric
IBM Cloud
Iguazio
Intel Tiber AI Studio
Kinetica
NVIDIA TensorRT
Nuclio
Plotly Dash

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

NVIDIA

Country

United States

Website

developer.nvidia.com/merlin

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/rapids

Product Features

Data Science

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

Product Features

Data Science

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

Alternatives

Alternatives

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