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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Magnum is a powerful and flexible software designed for conducting 3D finite-element magnetostatic analyses with impressive accuracy and efficiency at a reasonable cost. This program is capable of executing three distinct types of calculations: it calculates free-space fields in limitless volumes based on specified applied currents, computes bounded fields influenced by coils, permanent magnets, and saturable isotropic ferromagnetic materials, and analyzes pulsed fields in areas containing ideal conductors. Moreover, Magnum effectively addresses saturation phenomena in ferromagnetic substances as well as in advanced permanent-magnet materials such as NdFeB and SmCo. The comprehensive software suite is made up of five interconnected components: Geometer, which allows users to construct 3D structures within an interactive setting; MetaMesh, which facilitates the automatic generation of conformal hexahedron meshes; MagWinder, designed for creating intricate 3D drive coil configurations; Magnum itself, which provides interactive generation of magnetic field solutions either through a graphical interface or command line; and finally, MagView, which is used for creating both 2D and 3D visualizations and conducting quantitative assessments. Together, these components make Magnum a robust choice for professionals in the field of magnetics.

Description

NVIDIA Magnum IO serves as the framework for efficient and intelligent I/O in data centers operating in parallel. It enhances the capabilities of storage, networking, and communications across multiple nodes and GPUs to support crucial applications, including large language models, recommendation systems, imaging, simulation, and scientific research. By leveraging storage I/O, network I/O, in-network compute, and effective I/O management, Magnum IO streamlines and accelerates data movement, access, and management in complex multi-GPU, multi-node environments. It is compatible with NVIDIA CUDA-X libraries, optimizing performance across various NVIDIA GPU and networking hardware configurations to ensure maximum throughput with minimal latency. In systems employing multiple GPUs and nodes, the traditional reliance on slow CPUs with single-thread performance can hinder efficient data access from both local and remote storage solutions. To counter this, storage I/O acceleration allows GPUs to bypass the CPU and system memory, directly accessing remote storage through 8x 200 Gb/s NICs, which enables a remarkable achievement of up to 1.6 TB/s in raw storage bandwidth. This innovation significantly enhances the overall operational efficiency of data-intensive applications.

API Access

Has API

API Access

Has API

Screenshots View All

No images available

Screenshots View All

Integrations

Apache Spark
CUDA
NVIDIA NetQ
NVIDIA virtual GPU

Integrations

Apache Spark
CUDA
NVIDIA NetQ
NVIDIA virtual GPU

Pricing Details

$890 perpetual license
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

Field Precision LLC

Founded

1992

Country

United States

Website

www.fieldp.com

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/magnum-io/

Product Features

Product Features

Data Center Management

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

Alternatives

No Alternatives

Alternatives