Azure Confidential ComputingMicrosoft
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Related Products
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About
Azure Confidential Computing increases data privacy and security by protecting data while it’s being processed, rather than only when stored or in transit. It encrypts data in memory within hardware-based trusted execution environments, only allowing computation to proceed after the cloud platform verifies the environment. This approach helps prevent access by cloud providers, administrators, or other privileged users. It supports scenarios such as multi-party analytics, allowing different organisations to contribute encrypted datasets and perform joint machine learning without revealing underlying data to each other. Users retain full control of their data and code, specifying which hardware and software can access it, and can migrate existing workloads with familiar tools, SDKs, and cloud infrastructure.
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About
NVIDIA Confidential Computing secures data in use, protecting AI models and workloads as they execute, by leveraging hardware-based trusted execution environments built into NVIDIA Hopper and Blackwell architectures and supported platforms. It enables enterprises to deploy AI training and inference, whether on-premises, in the cloud, or at the edge, with no changes to model code, while ensuring the confidentiality and integrity of both data and models. Key features include zero-trust isolation of workloads from the host OS or hypervisor, device attestation to verify that only legitimate NVIDIA hardware is running the code, and full compatibility with shared or remote infrastructure for ISVs, enterprises, and multi-tenant environments. By safeguarding proprietary AI models, inputs, weights, and inference activities, NVIDIA Confidential Computing enables high-performance AI without compromising security or performance.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Enterprises and organizations seeking a solution to process highly sensitive data securely, retain full control of their workloads and enable collaborative analytics
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Audience
Enterprises, AI/ML teams and ISVs in search of a solution to deploy high-performance GPU-accelerated workloads while ensuring hardware-based confidentiality, integrity and scalability
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/solutions/confidential-compute
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/solutions/confidential-computing/
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Alternatives |
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Categories |
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Integrations
Azure Confidential Computing
Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Blackwell Security
Google Cloud Platform
Kubernetes
Microsoft Azure
NVIDIA Confidential Computing
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Integrations
Azure Confidential Computing
Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Blackwell Security
Google Cloud Platform
Kubernetes
Microsoft Azure
NVIDIA Confidential Computing
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