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What is OpenGPU?

OpenGPU Network is a groundbreaking decentralized platform designed for GPU computing that connects users requiring substantial processing capabilities with a wide range of independent GPU providers worldwide. This cutting-edge system supports various intensive operations, including AI inference, machine learning training, and rendering tasks, by utilizing distributed resources instead of depending on conventional centralized cloud services. It serves as an advanced routing solution that intelligently matches workloads with available GPU resources across the globe, allowing for instant task execution without the complexities of managing infrastructure or facing regional constraints, queue issues, or provisioning delays. By aggregating resources from data centers, cloud services, and personal devices, OpenGPU addresses the growing gap between the escalating demand for GPUs and the fragmented, underutilized supply available in the market. The platform runs on a blockchain framework that not only oversees task coordination and verifies results but also guarantees fair distribution of rewards, creating a trustless ecosystem for its users. Consequently, OpenGPU significantly improves access to GPU computing while also encouraging the efficient use of computational resources on a global scale, ultimately leading to a more connected and responsive computing environment. This innovative approach enables individuals and businesses alike to tap into the vast potential of GPU technology without the burden of traditional limitations.

What is Confidential AI?

Confidential AI provides a secure infrastructure designed for private AI inference, agent environments, and confidential computing solutions specifically aimed at AI laboratories, inference service providers, routers, and organizations handling sensitive information. Its hosted inference service leverages open-weight models that run in hardware-backed trusted execution environments (TEEs), employing technologies like Intel TDX and AMD SEV-SNP confidential virtual machines, complemented by NVIDIA GPUs in a secure computing setup. This framework guarantees that prompts, responses, and workload details are protected from infrastructure operators, allowing clients to validate attestation before sharing sensitive data. Users can either implement an OpenAI-compatible API to create inference endpoints and manage agent workloads or obtain the confidential-computing stack for deployment on their own infrastructure, bare metal servers, or across leading cloud platforms. This service proves particularly advantageous in situations where model deployment requires restricting operator access to both prompts and model assets, as well as when handling sensitive AI tasks in a dedicated confidential computing environment. Furthermore, the focus on stringent security protocols cultivates trust in the management of sensitive information, empowering clients to drive innovation while maintaining privacy and confidentiality in their operations. Ultimately, this enables organizations to navigate the complexities of AI technology with greater confidence and security.

Media

Media

No images available

Integrations Supported

Amazon Web Services (AWS)
Google Cloud Platform

Integrations Supported

OpenAI

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$0.30 per 1M input tokens
Confidential Inference (OpenAI-compatible API, per 1M tokens):
DeepSeek V4.1 Flash (live): $0.30 input, $0.03 cached input, $1.20 output.
Kimi K3 (on request): $3.00 input, $0.30 cached input, $15.00 output.
GLM 5.3 (on request): $1.40 input, $0.26 cached input, $4.40 output.
Qwen3.8 27B (on request): $0.30 input, $0.03 cached input, $1.80 output.
DeepSeek V4 Flash is no longer offered; DeepSeek V4.1 Flash is the current live model.

Confidential GPU VMs (per GPU-hour, confidential computing mode):
NVIDIA B300: $7.50 (available).
NVIDIA B200: $6.50 (available).
NVIDIA H100: $3.25 (on request).
CPU VMs: $0.05 per core-hour plus $0.012 per GB-hour (AMD SEV-SNP and Intel TDX).

Licensed stack (per GPU per year): RTX PRO 6000 $2,789; H100 $3,876; H200 $4,974; B200 $7,625; B300 $9,884. CPU core license $48.85 per core per year. Standard support included; Enterprise support 25% of total license price.

Terms: minimum order $500. 50% on signed order, 50% on completion; monthly in arrears for longer engagements. USD by bank transfer (ACH or international wire). Card payments coming soon.
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
Linux

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

OpenGPU

Date Founded

2024

Company Location

United States

Company Website

opengpu.network/

Company Facts

Organization Name

Confidential AI

Date Founded

2025

Company Location

United States

Company Website

confidential.ai

Categories and Features

Cloud GPU

Not specified

Categories and Features

AI Inference

Not specified

Cloud GPU

Not specified

Confidential AI

Not specified

Virtual Machine

Not specified

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