{"data":{"id":30751,"name":"OpenGPU","symbol":"OGPU","slug":"open-gpu","category":"token","description":"**OpenGPU (OGPU)** is a global execution and routing layer for AI and \nhigh-performance computing (HPC), designed to move workloads across \ndistributed GPU infrastructure in real time.\n\nInstead of acting as a marketplace or a single cloud provider, OpenGPU \nfunctions as an orchestration layer above GPU supply. Centralized clouds, \nindependent data centers, and individual GPU operators all become \ninterchangeable execution targets within a single global network.\n\nOpenGPU enables AI inference, training, rendering, and data-intensive \nworkloads to be routed dynamically based on performance, availability, and \ncost, without vendor lock-in or regional constraints.\n\n**Architecture Overview**\n\nOpenGPU consists of two complementary execution layers:\n\n**1. OpenGPU Mainnet (Blockchain Execution Layer)**\nOpenGPU operates its own purpose-built Layer 1 network, OpenGPU Mainnet, using a Lachesis DAG-based consensus protocol.\n\nSub-second finality\n10,000 transactions per second\nFully EVM-compatible\nOptimized for real-time task coordination and execution tracking\n\nThe 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.\n\nLive network activity is publicly verifiable at:\n https://ogpuscan.io\n\n**2. Relay (Enterprise Routing Layer)**\nRelay is OpenGPU’s Web2-friendly execution gateway that allows enterprises \nand developers to route AI workloads using familiar cloud-style workflows.\n\nRelay abstracts the underlying blockchain and decentralized infrastructure, \nenabling enterprises to:\n\nRoute workloads without touching crypto directly\nPay per task\nAvoid vendor lock-in\nAccess global GPU capacity on demand\n\nhttps://relay.opengpu.network\n\n**Neo (Autonomous AI Execution on OpenGPU)**\nNeo is OpenGPU’s autonomous AI agent, built as a live example of what the network can power in \npractice.\nRather 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.\nNeo helps illustrate OpenGPU’s broader vision: not just routing compute, but powering the next \ngeneration of AI-native applications and agents that require scalable, flexible, and globally available \nexecution.\n\n**How OpenGPU Is Used**\nClients submit compute workloads (inference, training, rendering, etc.)\nOpenGPU routes tasks dynamically across available GPU capacity\nProviders execute workloads and earn rewards\nCompletion and validation are recorded on OpenGPU Mainnet\n\n**Anyone can participate:**\nEnterprises and developers can run workloads\n\nData centers and individual GPU operators can contribute capacity and earn \nincome\n\n**Token Utility (OGPU)**\nThe OGPU token is used for:\n\nTask execution settlement\nNetwork coordination\nProvider incentives\nEconomic security of the routing layer\n\nAll tokens are already in circulation. There are no unlock schedules.\n\n**What OpenGPU Is Not**\nNot a GPU marketplace\nNot a single cloud provider\nNot a speculative infrastructure concept\nOpenGPU is a live, operational execution network.\n\n**Mission**\nOpenGPU’s mission is to become the default global routing layer for AI and HPC compute, where workloads move freely across GPU infrastructure as \ndemand scales.\n\nInstead of compute being locked inside silos, OpenGPU enables compute to \nflow globally.","dateAdded":"2024-04-18T10:50:54.000Z","actualTimeStart":"2024-04-18T11:40:00.000Z","status":"active","isBn":0,"subStatus":"normal","notice":"","alertType":2,"alertLink":"","latestUpdateTime":"2026-09-23T03:18:00.000Z","watchCount":"8369","watchListRanking":2040,"dateLaunched":"2024-04-13T00:00:00.000Z","latestAdded":false,"launchPrice":0.00030,"tags":[{"slug":"pos","name":"PoS","category":"ALGORITHM","status":1,"priority":5},{"slug":"distributed-computing","name":"Distributed 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