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ease
features
design
support

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Description

AWS Service Catalog enables organizations to create and oversee a catalog of IT services that have received approval for utilization on AWS. This range of IT services encompasses various elements such as virtual machine images, servers, software, databases, and even intricate multi-tier application setups. By using AWS Service Catalog, you can effectively manage the IT services and applications that have been deployed, along with their associated resources and metadata. This capability plays a crucial role in ensuring consistent governance and fulfilling compliance requirements, all while empowering users to swiftly deploy only the sanctioned IT services they require. Furthermore, with the introduction of AWS Service Catalog AppRegistry, organizations gain insights into the application context of their AWS resources. You can establish and oversee your applications along with their metadata, facilitating the monitoring of costs, performance, security, compliance, and operational status at the application level. Additionally, AWS Service Catalog AppRegistry serves as a centralized hub for the aggregation and management of your application resources within the AWS ecosystem. This comprehensive approach not only streamlines resource management but also enhances organizational efficiency and governance.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Budgets
Amazon Web Services (AWS)
Domino Enterprise AI Platform
NVIDIA GPU-Optimized AMI
Nutanix Enterprise AI
PyTorch
TensorFlow

Integrations

AWS Budgets
Amazon Web Services (AWS)
Domino Enterprise AI Platform
NVIDIA GPU-Optimized AMI
Nutanix Enterprise AI
PyTorch
TensorFlow

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

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/servicecatalog/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

ngc.nvidia.com

Product Features

IT Management

Capacity Monitoring
Compliance Management
Event Logs
Hardware Inventory
IT Budgeting
License Management
Patch Management
Remote Access
Scheduling
Software Inventory
User Activity Monitoring

Product Features

Deep Learning

Convolutional Neural Networks
Document Classification
Image Segmentation
ML Algorithm Library
Model Training
Neural Network Modeling
Self-Learning
Visualization

HPC

Alternatives