Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
The NVIDIA GPU-Optimized AMI serves as a virtual machine image designed to enhance your GPU-accelerated workloads in Machine Learning, Deep Learning, Data Science, and High-Performance Computing (HPC). By utilizing this AMI, you can quickly launch a GPU-accelerated EC2 virtual machine instance, complete with a pre-installed Ubuntu operating system, GPU driver, Docker, and the NVIDIA container toolkit, all within a matter of minutes.
This AMI simplifies access to NVIDIA's NGC Catalog, which acts as a central hub for GPU-optimized software, enabling users to easily pull and run performance-tuned, thoroughly tested, and NVIDIA-certified Docker containers. The NGC catalog offers complimentary access to a variety of containerized applications for AI, Data Science, and HPC, along with pre-trained models, AI SDKs, and additional resources, allowing data scientists, developers, and researchers to concentrate on creating and deploying innovative solutions.
Additionally, this GPU-optimized AMI is available at no charge, with an option for users to purchase enterprise support through NVIDIA AI Enterprise. For further details on obtaining support for this AMI, please refer to the section labeled 'Support Information' below. Moreover, leveraging this AMI can significantly streamline the development process for projects requiring intensive computational resources.
API Access
Has API
No
API Access
Has API
No
Integrations
AWS Budgets
Yes
AWS Marketplace
No
Amazon Web Services (AWS)
No
Azure Marketplace
No
Gaia
No
NVIDIA NGC
No
OpenLIT
No
Integrations
AWS Budgets
No
AWS Marketplace
Yes
Amazon Web Services (AWS)
Yes
Azure Marketplace
Yes
Gaia
Yes
NVIDIA NGC
Yes
OpenLIT
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$3.06 per hour
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
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
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)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/servicecatalog/
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/marketplace/pp/prodview-7ikjtg3um26wq
Product Features
IT Management
Capacity Monitoring
No
Compliance Management
No
Event Logs
No
Hardware Inventory
No
IT Budgeting
No
License Management
No
Patch Management
No
Remote Access
No
Scheduling
No
Software Inventory
No
User Activity Monitoring
No
Product Features
Deep Learning
Convolutional Neural Networks
No
Document Classification
No
Image Segmentation
No
ML Algorithm Library
No
Model Training
No
Neural Network Modeling
No
Self-Learning
No
Visualization
No