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ease
features
design
support

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Description

In the fast-changing world of business today, information technology has become crucial for organizations aiming to maintain competitiveness and satisfy customer expectations. To remain aligned with emerging IT developments, businesses must establish a robust infrastructure, featuring servers capable of managing diverse workloads and operational requirements. The Fujitsu PRIMERGY Server systems provide an excellent solution, offering workload-optimized x86 industry-standard servers tailored to fit the needs of any organization. Acknowledging that a universal solution does not exist, Fujitsu presents a wide-ranging server portfolio that includes expandable tower servers, adaptable rack-mount servers, high-density multi-node servers, and GPU servers specifically designed for artificial intelligence and virtual desktop infrastructure. Each of these systems is crafted to support multiple and computationally intensive tasks, with every server fine-tuned for particular applications, ensuring that businesses can select the ideal solution for their unique demands. This focused approach allows companies to enhance their operational efficiency and performance significantly.

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

Screenshots View All

Integrations

Apache Spark
CUDA
Microsoft 365
NVIDIA NetQ
NVIDIA virtual GPU

Integrations

Apache Spark
CUDA
Microsoft 365
NVIDIA NetQ
NVIDIA virtual GPU

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

Fujitsu

Country

Japan

Website

www.fujitsu.com/global/products/computing/servers/primergy/index.html

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

Alternatives