Thông tin OpenGPU (OGPU)
| Trạng thái | Đang hoạt động |
| Website | |
| Sách trắng | |
| Block Explorer | https://etherscan.io/token/0x067def80d66fb69c276e53b641f37ff7525162f6 |
| Mã nguồn | |
| Bảng tin | |
| Chat | |
| Thông báo | |
| Nền tảng | |
| Ngày thêm vào danh sách | 17:50:54 18/04/2024 |
| Thẻ | PoS, Distributed Computing, DeFi, Ethereum Ecosystem, Web3, DePIN |
Số liệu thống kê OpenGPU (OGPU)
| Giá OpenGPU (OGPU) hôm nay | |
|---|---|
| Giá OpenGPU (OGPU) | $0.08742 |
| Dao động 1 giờ | -0.01% |
| Dao động 24 giờ | 0.19% |
| Dao động 7 ngày | -1.23% |
| Giá Thấp / Cao nhất (24h) | $0.08629 / $0.08763 |
| Khối lượng giao dịch 24 giờ | $40,136.30 |
| Vốn hóa | $1,716,833 |
| Khối lượng giao dịch / Vốn hóa thị trường | 0.023378 |
| Thị phần | 0.000072% |
| Xếp hạng | #1691 |
| Giá OpenGPU (OGPU) hôm qua | |
| Giá Thấp / Cao nhất hôm qua | $0.08629 / $0.08763 |
| Giá Mở / Đóng hôm qua | $0.08752 / $0.08734 |
| Dao động giá hôm qua | -0.2% |
| Khối lượng giao dịch hôm qua | $43,744.68 |
| Nguồn cung OpenGPU (OGPU) | |
| Tổng OGPU đang lưu hành | 19,639,105 OGPU |
| Tổng cung | 21,000,000 OGPU |
| Tổng cung tối đa | 21,000,000 OGPU |
| Lịch sử giá OpenGPU (OGPU) | |
| Giá Thấp / Cao 7 ngày | $0.08148 / $0.08899 |
| Giá Thấp / Cao 30 ngày | $0.07681 / $0.09223 |
| Giá Thấp / Cao 90 ngày | $0.07681 / $0.1806 |
| Giá Thấp / Cao 52 tuần | $0.07681 / $0.5983 |
| Giá cao nhất lịch sử 06:09:00 28/11/2024 |
$3.61 |
| Giá thấp nhất lịch sử 11:20:00 22/04/2024 |
$0.05278 |
| ROI của OpenGPU (OGPU) | 29,009.91% |
high-performance computing (HPC), designed to move workloads across
distributed GPU infrastructure in real time.
Instead of acting as a marketplace or a single cloud provider, OpenGPU
functions as an orchestration layer above GPU supply. Centralized clouds,
independent data centers, and individual GPU operators all become
interchangeable execution targets within a single global network.
OpenGPU enables AI inference, training, rendering, and data-intensive
workloads to be routed dynamically based on performance, availability, and
cost, without vendor lock-in or regional constraints.
**Architecture Overview**
OpenGPU consists of two complementary execution layers:
**1. OpenGPU Mainnet (Blockchain Execution Layer)**
OpenGPU operates its own purpose-built Layer 1 network, OpenGPU Mainnet, using a Lachesis DAG-based consensus protocol.
Sub-second finality
10,000 transactions per second
Fully EVM-compatible
Optimized for real-time task coordination and execution tracking
The blockchain is used only where it adds value: task allocation, validation, execution tracking, and settlement. It is not designed for general-purpose DeFi or unrelated smart contracts.
Live network activity is publicly verifiable at:
https://ogpuscan.io
**2. Relay (Enterprise Routing Layer)**
Relay is OpenGPU’s Web2-friendly execution gateway that allows enterprises
and developers to route AI workloads using familiar cloud-style workflows.
Relay abstracts the underlying blockchain and decentralized infrastructure,
enabling enterprises to:
Route workloads without touching crypto directly
Pay per task
Avoid vendor lock-in
Access global GPU capacity on demand
https://relay.opengpu.network
**How OpenGPU Is Used**
Clients submit compute workloads (inference, training, rendering, etc.)
OpenGPU routes tasks dynamically across available GPU capacity
Providers execute workloads and earn rewards
Completion and validation are recorded on OpenGPU Mainnet
**Anyone can participate:**
Enterprises and developers can run workloads
Data centers and individual GPU operators can contribute capacity and earn
income
**Token Utility (OGPU)**
The OGPU token is used for:
Task execution settlement
Network coordination
Provider incentives
Economic security of the routing layer
All tokens are already in circulation. There are no unlock schedules.
**What OpenGPU Is Not**
Not a GPU marketplace
Not a single cloud provider
Not a speculative infrastructure concept
OpenGPU is a live, operational execution network.
**Mission**
OpenGPU’s mission is to become the default global routing layer for AI and HPC compute, where workloads move freely across GPU infrastructure as
demand scales.
Instead of compute being locked inside silos, OpenGPU enables compute to
flow globally.