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
NVIDIA NetQ™ serves as an advanced and scalable toolkit for modern network operations, enabling real-time visibility, troubleshooting, and validation of Cumulus and SONiC fabrics. By leveraging telemetry, it provides valuable insights into the health of data center networks while seamlessly integrating with the DevOps ecosystem. The tool natively incorporates NVIDIA® What Just Happened® (WJH) through the Spectrum® ASIC, facilitating hardware-accelerated detection and reporting of anomalies and transient network problems. Additionally, NetQ can be accessed as a secure cloud service, simplifying installation, deployment, and scalability of your network. Utilizing the cloud-based version of NetQ ensures immediate updates, requires no maintenance, and minimizes appliance management tasks. Users can correlate configuration with operational status, allowing for immediate identification and tracking of state changes across the entire data center infrastructure. This comprehensive approach enhances operational efficiency and promotes proactive network management.
API Access
Has API
API Access
Has API
Integrations
Apache Spark
CUDA
NVIDIA Magnum IO
NVIDIA NetQ
NVIDIA virtual GPU
SONiC
Integrations
Apache Spark
CUDA
NVIDIA Magnum IO
NVIDIA NetQ
NVIDIA virtual GPU
SONiC
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
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/magnum-io/
Vendor Details
Company Name
NVIDIA Networking
Country
United States
Website
www.nvidia.com/en-us/networking/ethernet-switching/netq/
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
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