TargonManifold Labs
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Related Products
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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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About
Targon is a confidential compute cloud for scaling workloads with high-speed GPUs and CPUs for AI training and deployments. It provides secure GPUs on lightning-fast infrastructure, with an easy-to-use API, SDK, and CLI for managing workloads across rentals, serverless apps, persistent volumes, web endpoints, and LLM inference. Targon is built around confidential compute without compromise, using a decentralized compute network of trusted execution environments. Its Targon Virtual Machine keeps data confidential with hardware-backed protection powered by Intel TDX, while NVIDIA Confidential Computing and NVIDIA PCIe Confidentiality help protect data on untrusted hardware. Users can deploy confidential compute, connect to a GPU server with configured SSH keys, or use serverless containers that automatically scale up and down based on traffic.
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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, 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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Audience
AI infrastructure engineers who need confidential GPU compute, serverless deployment, persistent storage, and secure LLM inference for sensitive workloads
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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 InformationNVIDIA
Founded: 1993
United States
www.nvidia.com/en-us/data-center/solutions/confidential-computing/
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Company InformationManifold Labs
United States
targon.com
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Alternatives |
Alternatives |
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Categories |
Categories |
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Integrations
Google Cloud Platform
Azure Confidential Computing
Bittensor
Blackwell Security
Shopify
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Integrations
Google Cloud Platform
Azure Confidential Computing
Bittensor
Blackwell Security
Shopify
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