OpenGPU OGPU
Peringkat #2381
21:29:48 12/11/2026
Harga OpenGPU (OGPU)
Rp 336,75 -0,57%
0,0000002573 BTC
≈ US$0,0184546
Terendah 24j: Rp 322,51
Tertinggi 24j: Rp 344,97
| Kapitalisasi pasar | Rp 6,61 Miliar | Volume 24j | Rp 60,72 Juta | Suplai beredar | 19,64 Juta OGPU |
| Perubahan 1j | 0,01% | Perubahan 24j | -0,57% | Perubahan 7h | -15,37% |
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Konversi OGPU ke Rupiah (IDR) dan USD
Info OpenGPU (OGPU)
| Status | Aktif |
| Situs web | |
| Whitepaper | |
| Block Explorer | https://etherscan.io/token/0x067def80d66fb69c276e53b641f37ff7525162f6 |
| Kode sumber | |
| Papan pesan | |
| Chat | |
| Pengumuman | |
| X (Twitter) | |
| Platform | |
| Tanggal ditambahkan | 17:50:54 18/04/2024 |
| Tag | PoS, Distributed Computing, DeFi, Ethereum Ecosystem, Web3, DePIN |
Statistik OpenGPU (OGPU)
| Harga OpenGPU (OGPU) hari ini | |
|---|---|
| Harga OpenGPU (OGPU) | Rp 336,75 |
| Perubahan 1 jam | 0.01% |
| Perubahan 24 jam | -0,57% |
| Perubahan 7 hari | -15,37% |
| Terendah / Tertinggi (24j) | Rp 334,96 / Rp 438,08 |
| Volume perdagangan 24 jam | Rp 60,72 Juta |
| Kapitalisasi pasar | Rp 6,61 Miliar |
| Volume / Kapitalisasi pasar | 0,009181 |
| Dominasi pasar | 0,000015% |
| Peringkat | #2381 |
| Harga OpenGPU (OGPU) kemarin | |
| Terendah / Tertinggi kemarin | Rp 334,96 / Rp 466,65 |
| Pembukaan / Penutupan kemarin | Rp 456,91 / Rp 347,45 |
| Perubahan harga kemarin | -23.96% |
| Volume perdagangan kemarin | Rp 1,05 Miliar |
| Suplai OpenGPU (OGPU) | |
| Suplai OGPU beredar | 19.639.105 OGPU |
| Total suplai | 21.000.000 OGPU |
| Suplai maksimum | 21.000.000 OGPU |
| Riwayat harga OpenGPU (OGPU) | |
| Terendah / Tertinggi 7 hari | Rp 334,96 / Rp 577,53 |
| Terendah / Tertinggi 30 hari | Rp 334,96 / Rp 1.027 |
| Terendah / Tertinggi 90 hari | Rp 334,96 / Rp 1.090 |
| Terendah / Tertinggi 52 minggu | US$0,01836 / US$0,1806 |
| Tertinggi sepanjang masa 06:09:00 28/11/2024 |
US$3,61 |
| Terendah sepanjang masa 06:36:00 04/11/2026 |
US$0,01836 |
| ROI OpenGPU (OGPU) | 6.538,06% |
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
**Neo (Autonomous AI Execution on OpenGPU)**
Neo is OpenGPU’s autonomous AI agent, built as a live example of what the network can power in
practice.
Rather than being a concept demo, Neo runs on OpenGPU infrastructure and showcases how AI agents can execute real workloads through the network. It represents a practical layer on top of OpenGPU’s routing and execution stack, demonstrating how autonomous systems can be deployed without relying on traditional centralized cloud dependency.
Neo helps illustrate OpenGPU’s broader vision: not just routing compute, but powering the next
generation of AI-native applications and agents that require scalable, flexible, and globally available
execution.
**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.