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Average Ratings 0 Ratings

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ease
features
design
support

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Description

AWS Nitro Enclaves allows users to establish secure and isolated computing environments tailored for the protection and processing of extremely sensitive information, including personally identifiable information (PII), healthcare data, financial records, and intellectual property, all within their Amazon EC2 instances. Utilizing the advanced Nitro Hypervisor technology, which ensures CPU and memory isolation for EC2 instances, Nitro Enclaves significantly minimizes the attack surface for applications that handle highly sensitive data. These Enclaves provide a fortified, contained environment specifically designed for running security-critical applications. Moreover, Nitro Enclaves incorporate cryptographic attestation to verify that only authorized software is operational, and they seamlessly integrate with the AWS Key Management Service, ensuring that access to sensitive information is restricted exclusively to the authorized enclaves. This combination of features not only enhances security but also instills confidence in users regarding the integrity of their data processing operations.

Description

NVIDIA Confidential Computing safeguards data while it is actively being processed, ensuring the protection of AI models and workloads during execution by utilizing hardware-based trusted execution environments integrated within the NVIDIA Hopper and Blackwell architectures, as well as compatible platforms. This innovative solution allows businesses to implement AI training and inference seamlessly, whether on-site, in the cloud, or at edge locations, without requiring modifications to the model code, all while maintaining the confidentiality and integrity of both their data and models. Among its notable features are the zero-trust isolation that keeps workloads separate from the host operating system or hypervisor, device attestation that confirms only authorized NVIDIA hardware is executing the code, and comprehensive compatibility with shared or remote infrastructures, catering to ISVs, enterprises, and multi-tenant setups. By protecting sensitive AI models, inputs, weights, and inference processes, NVIDIA Confidential Computing facilitates the execution of high-performance AI applications without sacrificing security or efficiency. This capability empowers organizations to innovate confidently, knowing their proprietary information remains secure throughout the entire operational lifecycle.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AWS Key Management Service
AWS Marketplace
AWS Nitro System
Amazon EC2
Amazon Web Services (AWS)
Azure Confidential Computing
Blackwell Security
Google Cloud Platform

Integrations

AWS Key Management Service
AWS Marketplace
AWS Nitro System
Amazon EC2
Amazon Web Services (AWS)
Azure Confidential Computing
Blackwell Security
Google Cloud Platform

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/ec2/nitro/nitro-enclaves/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

www.nvidia.com/en-us/data-center/solutions/confidential-computing/

Product Features

Virtualization

Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring

Alternatives

Alternatives