Audience

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

About NVIDIA Magnum IO

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.

Other Popular Alternatives & Related Software
NVIDIA HPC SDK
NVIDIA HPC SDK
The NVIDIA HPC Software Development Kit (SDK) includes the proven compilers, libraries and software tools essential to maximizing developer productivity and the performance and portability of HPC applications. The NVIDIA HPC SDK C, C++, and Fortran compilers support GPU acceleration of HPC modeling and simulation applications with standard C++ and Fortran, OpenACC® directives, and CUDA®. GPU-accelerated math libraries maximize performance on common HPC algorithms, and optimized communications libraries enable standards-based multi-GPU and scalable systems programming. Performance profiling and debugging tools simplify porting and optimization of HPC applications, and containerization tools enable easy deployment on-premises or in the cloud. With support for NVIDIA GPUs and Arm, OpenPOWER, or x86-64 CPUs running Linux, the HPC SDK provides the tools you need to build NVIDIA GPU-accelerated HPC applications.
Learn more
GIGABYTE High Density Server
GIGABYTE High Density Server
Compute, storage, and networking are possible in high-density, multi-node servers at lower TCO and greater efficiency. High-Performance Computing (HPC), Hyper-Converged Infrastructure (HCI), edge computing, and file storage.
Learn more
NVIDIA RAPIDS
NVIDIA RAPIDS
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.
Learn more
Sangfor aStor
Sangfor aStor
Sangfor aStor is a software‑defined storage solution that unifies block, file, and object storage into a single, elastically expandable resource pool using a fully symmetrical distributed architecture, enabling on‑demand allocation of high‑performance and cost‑optimized, large‑capacity tiers to suit diverse service requirements. Available as either integrated hardware‑software or standalone software, it scales from just three commodity x86 nodes and supports cloud‑scale clusters of thousands of nodes with EB‑level capacity expansion. Its multi‑node parallel processing and intelligent caching (using RDMA, SSD hot‑data cache, and layering) deliver extremely high throughput, IOPS, and small‑IO performance, boosting cache hit rates to 90% and small‑IO handling by up to 65%, while distributed metadata management ensures jitter‑free handling of billions of files.
Learn more

Integrations

See Integrations

Ratings/Reviews

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

Company Information

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

Videos and Screen Captures

NVIDIA Magnum IO Screenshot 1
NVIDIA Magnum IO Screenshot 1
Other Useful Business Software
Go from Code to Production URL in Seconds Icon
Go from Code to Production URL in Seconds

Cloud Run deploys apps in any language instantly. Scales to zero. Pay only when code runs.

Skip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
Try it free

Product Details

Platforms Supported
Cloud
Training
Documentation
Live Online
Webinars
In Person
Videos
Support
Phone Support
Online

NVIDIA Magnum IO Frequently Asked Questions

Q: What kinds of users and organization types does NVIDIA Magnum IO work with?
Q: What languages does NVIDIA Magnum IO support in their product?
Q: What kind of support options does NVIDIA Magnum IO offer?
Q: What other applications or services does NVIDIA Magnum IO integrate with?
Q: What type of training does NVIDIA Magnum IO provide?

NVIDIA Magnum IO Product Features

Data Center Management

Power Management
Audit Trail
Diagnostic Testing
Import / Export Data
Device Auto Discovery
Sarbanes-Oxley Compliance
Multi-User
JCL Management
Behavior-Based Acceleration
Cross Reference System
Multi-Platform