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What is TensorHost?

TensorHost provides GPU computing capabilities directly through its own infrastructure, eliminating dependence on external providers. Clients submit their requirements regarding workload, GPU specifications, quantity, and timing preferences; subsequently, service particulars and locations are confirmed before finalizing the resource allocation agreement. This offering grants users access to NVIDIA GPU power for AI tasks and other intensive computational processes. By maintaining its core infrastructure, TensorHost enables clients to effectively deploy the designated computing resources for their unique applications and operations. The service is primarily aimed at developers, AI teams, and enterprises looking for GPU solutions without the complexities of purchasing and managing their own GPU hardware. Users incur charges based on actual usage, with capacity and pricing tailored to the requested specifications. This operational model promotes adaptability and scalability, allowing clients to navigate the diverse computing needs within an ever-changing tech environment. Furthermore, TensorHost's commitment to quality service ensures that clients can focus on innovation while relying on robust GPU resources.

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.

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Integrations Supported

Integrations Supported

Azure Confidential Computing
Blackwell Security
Google Cloud Platform

API Availability

API Availability

Pricing Information

$0.50/GPU-hour
RTX 5090 compute is $0.50 per GPU-hour, billed per second, with no minimums or egress charges. Other GPU configurations are quoted in USD.

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Not specified

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

GPU Server Hosts

Date Founded

2025

Company Location

United Kingdom

Company Website

tensorhost.com

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

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

Categories and Features

Cloud GPU

Not specified

Categories and Features

AI Infrastructure

Not specified

Cloud GPU

Not specified

Confidential AI

Not specified

Popular Alternatives

Popular Alternatives

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Pacific

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