Average Ratings 0 Ratings
Average Ratings 0 Ratings
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.
Description
Distributed Order Management (DOM) systems have emerged as essential components in the execution of supply chains, particularly for omnichannel fulfillment and various other applications across different industries. These systems enable the automation, optimization, and orchestration of order fulfillment processes by providing detailed visibility into orders, inventory levels, service requirements, costs, and operational constraints. DOM can be understood as a software platform that facilitates integrated planning and execution of fulfillment across diverse supply chain networks that are multi-echelon, multi-node, multi-partner, and multi-channel. In contrast to traditional Order Management Systems (OMS), which focus primarily on order processing, DOM systems emphasize the fulfillment aspect of orders. By leveraging their capabilities, Distributed Order Management determines the most efficient way to source an order, ensuring customer service commitments are met while minimizing total costs or achieving other specific company objectives. Moreover, the adoption of DOM systems can significantly enhance responsiveness and adaptability in an increasingly complex supply chain landscape.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Apache Spark
Yes
CUDA
Yes
NVIDIA NetQ
Yes
NVIDIA virtual GPU
Yes
ReturnPro
No
Integrations
Apache Spark
No
CUDA
No
NVIDIA NetQ
No
NVIDIA virtual GPU
No
ReturnPro
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
Yes
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
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
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)
Yes
Online Support
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/magnum-io/
Vendor Details
Company Name
Softeon
Founded
1999
Country
United States
Website
www.softeon.com/our-solutions/supply-chain-planning/distributed-order-management
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
Product Features
Dropshipping
Analytics / Reporting
Yes
Customer Service Management
No
Order Management
Yes
Price Optimization
No
Product Information Management (PIM)
No
Shipment Tracking
Yes
Sourcing Management
No
Supplier Management
Yes
eCommerce Integration
Yes