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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Mojo 🔥 is an innovative programming language designed specifically for AI developers. It merges the simplicity of Python with the efficiency of C, enabling users to maximize the programmability of various AI hardware and expand AI models seamlessly. Developers can write in Python or delve deep into low-level programming without needing to work with C++ or CUDA. This allows for direct programming of diverse AI hardware components. Take full advantage of hardware capabilities, encompassing multiple cores, vector units, and specialized accelerator units, all thanks to a cutting-edge compiler and heterogeneous runtime. Experience performance levels comparable to C++ and CUDA while avoiding unnecessary complexity in your coding process. With Mojo, the future of AI development becomes more accessible and efficient than ever before.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Anaconda No 
Apache Spark No 
Capital One Spark Business Banking No 
Databricks No 
Domino Enterprise AI Platform No 
Gradient No 
HEAVY.AI No 
HPE Ezmeral Data Fabric No 
IBM Cloud No 
Iguazio No 
Kinetica No 
Modular Yes 
NVIDIA FLARE No 
Nuclio No 
Plotly Dash No 

Integrations

Anaconda Yes 
Apache Spark Yes 
Capital One Spark Business Banking Yes 
Databricks Yes 
Domino Enterprise AI Platform Yes 
Gradient Yes 
HEAVY.AI Yes 
HPE Ezmeral Data Fabric Yes 
IBM Cloud Yes 
Iguazio Yes 
Kinetica Yes 
Modular No 
NVIDIA FLARE Yes 
Nuclio Yes 
Plotly Dash Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Modular

Founded

2022

Country

United States

Website

www.modular.com/mojo

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

developer.nvidia.com/rapids

Product Features

Product Features

Data Science

Access Control No 
Advanced Modeling No 
Audit Logs No 
Data Discovery No 
Data Ingestion No 
Data Preparation No 
Data Visualization No 
Model Deployment No 
Reports No 

Alternatives

Alternatives

CUDA Reviews

CUDA

NVIDIA
OpenCL Reviews

OpenCL

The Khronos Group