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What is Targon?

Targon provides a robust cloud computing platform that facilitates the efficient scaling of AI workloads, incorporating high-performance GPUs and CPUs ideal for both training and deployment. It features an intuitive API, SDK, and CLI that streamline the management of diverse workloads, such as rentals, serverless applications, persistent storage, web endpoints, and the inference of extensive language models. Central to Targon’s architecture is its commitment to confidential computing, employing a decentralized network of trusted execution environments to bolster security. The Targon Virtual Machine ensures data privacy through hardware-backed safeguards powered by Intel TDX, complemented by NVIDIA's Confidential Computing and PCIe Confidentiality technologies, which protect data even on potentially untrusted hardware. Users have the option to set up confidential compute environments, connect to GPU servers using configured SSH keys, or utilize serverless containers that automatically scale based on user traffic demands. This adaptability empowers organizations to customize their computing resources according to varying requirements while maintaining rigorous security protocols. Furthermore, Targon’s focus on user experience and reliability positions it as a preferred choice for those seeking advanced AI solutions.

What is PrivateCore vCage?

PrivateCore vCage provides essential protection for servers functioning in insecure environments, safeguarding them from persistent malware, damaging hardware, and internal security breaches. Cloud infrastructures, whether private or public like OpenStack, often comprise thousands of computing nodes scattered across diverse locations, which increases their susceptibility to attacks. Compromising just one compute node can jeopardize the security of the entire computational framework. By implementing PrivateCore vCage, this framework gains a defense against relentless threats, thereby securing servers that manage sensitive applications within cloud settings. The technology inherent in PrivateCore vCage creates a solid security base for cloud computing, protecting not only the servers but also the virtual machines that operate on them. The vCage software verifies server integrity and enhances the environment to minimize potential vulnerabilities while using encryption to safeguard sensitive information, including data stored in memory. Furthermore, this all-encompassing security strategy enables organizations to sustain trust while navigating the complexities of cloud ecosystems, ultimately fostering a safer computing landscape. By prioritizing security measures, companies can confidently leverage cloud solutions without compromising their sensitive data.

Media

Media

Integrations Supported

Bittensor
Google Cloud Platform
Shopify

Integrations Supported

Bittensor
Google Cloud Platform
Shopify

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Manifold Labs

Company Location

United States

Company Website

targon.com

Company Facts

Organization Name

PrivateCore

Date Founded

2011

Company Location

United States

Company Website

privatecore.com/vcage/index.html

Categories and Features

Categories and Features

Cloud Workload Protection

Anomaly Detection
Asset Discovery
Cloud Gap Analysis
Cloud Registry
Data Loss Prevention (DLP)
Data Security
Governance
Logging & Reporting
Machine Learning
Security Audit
Workload Diversity

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