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About

NVIDIA Magnum IO is the architecture for parallel, intelligent data center I/O. It maximizes storage, network, and multi-node, multi-GPU communications for the world’s most important applications, using large language models, recommender systems, imaging, simulation, and scientific research. Magnum IO utilizes storage I/O, network I/O, in-network compute, and I/O management to simplify and speed up data movement, access, and management for multi-GPU, multi-node systems. It supports NVIDIA CUDA-X libraries and makes the best use of a range of NVIDIA GPU and networking hardware topologies to achieve optimal throughput and low latency. In multi-GPU, multi-node systems, slow CPU, single-thread performance is in the critical path of data access from local or remote storage devices. With storage I/O acceleration, the GPU bypasses the CPU and system memory, and accesses remote storage via 8x 200 Gb/s NICs, achieving up to 1.6 TB/s of raw storage bandwidth.

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 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

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

AI researchers, data scientists, and HPC developers needing a tool to eliminate I/O bottlenecks in multi-GPU, multi-node environments

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

Screenshots and Videos

Pricing

No information available.
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

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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 Supported
In Person Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Supported

Company Information

NVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/magnum-io/

Company Information

NVIDIA
Founded: 1993
United States
developer.nvidia.com/rapids

Alternatives

Alternatives

Categories

Categories

AI Infrastructure Supported
Data Science Supported

Integrations

Apache Spark Supported
Anaconda Not Supported
CUDA Supported
Capital One Spark Business Banking Not Supported
Databricks Not Supported
Domino Enterprise AI Platform Not Supported
Gradient Not Supported
HEAVY.AI Not Supported
HPE Ezmeral Data Fabric Not Supported
IBM Cloud Not Supported
Iguazio Not Supported
Kinetica Not Supported
NVIDIA FLARE Not Supported
NVIDIA NetQ Supported
NVIDIA virtual GPU Supported
Nuclio Not Supported
Plotly Dash Not Supported

Integrations

Apache Spark Supported
Anaconda Supported
CUDA Not Supported
Capital One Spark Business Banking Supported
Databricks Supported
Domino Enterprise AI Platform Supported
Gradient Supported
HEAVY.AI Supported
HPE Ezmeral Data Fabric Supported
IBM Cloud Supported
Iguazio Supported
Kinetica Supported
NVIDIA FLARE Supported
NVIDIA NetQ Not Supported
NVIDIA virtual GPU Not Supported
Nuclio Supported
Plotly Dash Supported
Claim NVIDIA Magnum IO and update features and information
Claim NVIDIA Magnum IO and update features and information
Claim NVIDIA RAPIDS and update features and information
Claim NVIDIA RAPIDS and update features and information