Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
No
API Access
Has API
No
Integrations
Apache Spark
No
CUDA
No
Microsoft 365
Yes
NVIDIA NetQ
No
NVIDIA virtual GPU
No
Integrations
Apache Spark
Yes
CUDA
Yes
Microsoft 365
No
NVIDIA NetQ
Yes
NVIDIA virtual GPU
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
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
No
Behavior-Based Acceleration
No
Cross Reference System
No
Device Auto Discovery
No
Diagnostic Testing
No
Import / Export Data
No
JCL Management
No
Multi-Platform
No
Multi-User
No
Power Management
No
Sarbanes-Oxley Compliance
No