Related Products
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About
Google Cloud’s Confidential Computing delivers hardware-based Trusted Execution Environments to encrypt data in use, completing the encryption lifecycle alongside data at rest and in transit. It includes Confidential VMs (using AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs), Confidential Space (enabling secure multi-party data sharing), Google Cloud Attestation, and split-trust encryption tooling. Confidential VMs support workloads in Compute Engine and are available across services such as Dataproc, Dataflow, GKE, and Vertex AI Workbench. It ensures runtime encryption of memory, isolation from host OS/hypervisor, and attestation features so customers gain proof that their workloads run in a secure enclave. Use cases range from confidential analytics and federated learning in healthcare and finance to generative-AI model hosting and collaborative supply-chain data sharing.
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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 regulated-industry IT/security teams wanting a tool to process highly sensitive data in the cloud while ensuring full hardware‐enforced isolation, encryption-in-use and cryptographic proof of workload integrity
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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
$0.005479 per hour
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 InformationGoogle
Founded: 1998
United States
cloud.google.com/security/products/confidential-computing
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Company InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/solutions/confidential-computing/
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Categories |
Categories |
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Integrations
Google Cloud Platform
AMD Radeon ProRender
Anjuna Confidential Computing Software
Azure Confidential Computing
Blackwell Security
Google Cloud Dataflow
Google Cloud Dataproc
Google Kubernetes Engine (GKE)
HashiCorp Vault
Intel Open Edge Platform
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Integrations
Google Cloud Platform
AMD Radeon ProRender
Anjuna Confidential Computing Software
Azure Confidential Computing
Blackwell Security
Google Cloud Dataflow
Google Cloud Dataproc
Google Kubernetes Engine (GKE)
HashiCorp Vault
Intel Open Edge Platform
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