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What is NVIDIA Confidential Computing?

NVIDIA Confidential Computing provides robust protection for data during active processing, ensuring that AI models and workloads are secure while executing by leveraging hardware-based trusted execution environments found in NVIDIA Hopper and Blackwell architectures, along with compatible systems. This cutting-edge technology enables businesses to conduct AI training and inference effortlessly, whether it’s on-premises, in the cloud, or at edge sites, without the need for alterations to the model's code, all while safeguarding the confidentiality and integrity of their data and models. Key features include a zero-trust isolation mechanism that effectively separates workloads from the host operating system or hypervisor, device attestation that ensures only authorized NVIDIA hardware is executing the tasks, and extensive compatibility with shared or remote infrastructures, making it suitable for independent software vendors, enterprises, and multi-tenant environments. By securing sensitive AI models, inputs, weights, and inference operations, NVIDIA Confidential Computing allows for the execution of high-performance AI applications without compromising on security or efficiency. This capability not only enhances operational performance but also empowers organizations to confidently pursue innovation, with the assurance that their proprietary information will remain protected throughout all stages of the operational lifecycle. As a result, businesses can focus on advancing their AI strategies without the constant worry of potential security breaches.

What is Cocoon?

Cocoon is a decentralized network dedicated to "confidential compute," enabling users to run AI tasks on a distributed GPU setup while ensuring their data remains private and secure. By harnessing the TON blockchain and collaborating with various GPU providers, it allows for the execution of AI workloads in encrypted environments, effectively preventing any single entity or node operator from accessing sensitive data, thus returning data and compute ownership to the users instead of centralized cloud providers. The tasks are executed for only as long as needed, and no leftover data is stored on centralized systems, which greatly improves privacy, security, and decentralization. Cocoon's architecture is strategically designed to disrupt the dominance of traditional big-tech cloud providers by offering a transparent, crypto-backed system that compensates resource contributors, typically in native tokens, while granting users powerful computing resources without sacrificing control. This pioneering method not only empowers individuals but also cultivates a fairer ecosystem within the AI and data management landscape, prompting a shift towards user-centric technology solutions. Ultimately, Cocoon exemplifies a movement towards greater autonomy and democratization in computing.

Media

Media

Integrations Supported

Azure Confidential Computing
Blackwell Security
Google Cloud Platform

Integrations Supported

TON Wallet
Telegram

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Free
Free Version

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

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

Company Facts

Organization Name

Cocoon

Company Location

United States

Company Website

cocoon.org

Categories and Features

AI Infrastructure

Not specified

Cloud GPU

Not specified

Confidential AI

Not specified

Categories and Features

Cloud GPU

Not specified

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