Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
NVIDIA GPU Cloud (NGC) serves as a cloud platform that harnesses GPU acceleration for deep learning and scientific computations. It offers a comprehensive catalog of fully integrated containers for deep learning frameworks designed to optimize performance on NVIDIA GPUs, whether in single or multi-GPU setups. Additionally, the NVIDIA train, adapt, and optimize (TAO) platform streamlines the process of developing enterprise AI applications by facilitating quick model adaptation and refinement. Through a user-friendly guided workflow, organizations can fine-tune pre-trained models with their unique datasets, enabling them to create precise AI models in mere hours instead of the traditional months, thereby reducing the necessity for extensive training periods and specialized AI knowledge. If you're eager to dive into the world of containers and models on NGC, you’ve found the ideal starting point. Furthermore, NGC's Private Registries empower users to securely manage and deploy their proprietary assets, enhancing their AI development journey.
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
Amazon Web Services (AWS)
Yes
Apache Spark
No
CUDA
No
Domino Enterprise AI Platform
Yes
NVIDIA GPU-Optimized AMI
Yes
NVIDIA NetQ
No
NVIDIA virtual GPU
No
Nutanix Enterprise AI
Yes
PyTorch
Yes
TensorFlow
Yes
Integrations
Amazon Web Services (AWS)
No
Apache Spark
Yes
CUDA
Yes
Domino Enterprise AI Platform
No
NVIDIA GPU-Optimized AMI
No
NVIDIA NetQ
Yes
NVIDIA virtual GPU
Yes
Nutanix Enterprise AI
No
PyTorch
No
TensorFlow
No
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
Yes
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
No
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
NVIDIA
Founded
1993
Country
United States
Website
ngc.nvidia.com
Vendor Details
Company Name
NVIDIA
Founded
1993
Country
United States
Website
www.nvidia.com/en-us/data-center/magnum-io/
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
Yes
Neural Network Modeling
Yes
Self-Learning
No
Visualization
No
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