OpenGPU PriceOGPU

What is OpenGPU (OGPU)?

OpenGPU (OGPU) is a global execution and routing layer designed for artificial intelligence and high-performance computing workloads. Rather than functioning as a simple marketplace or a single cloud provider, it operates as an orchestration layer positioned above GPU supply, connecting centralized clouds, independent data centres, and individual GPU operators into one unified network. The project aims to solve the problem of fragmented GPU supply, where compute resources sit scattered and underused across different regions and providers. By routing workloads dynamically based on performance, availability, and cost, OpenGPU enables AI inference, training, rendering, and data-intensive tasks to run without vendor lock-in or regional constraints. The network is powered by the OGPU token, which has a capped total supply of 21 million tokens. OpenGPU operates both on the Ethereum platform and its own purpose-built Layer 1 network, OpenGPU Mainnet, and is positioned as a production-tested infrastructure running real AI workloads worldwide.

Key Specifications & Tokenomics

• Name: OpenGPU
• Ticker/Symbol: OGPU
• Blockchain/Platform: Ethereum and OpenGPU Mainnet (Layer 1)
• Consensus Mechanism: Lachesis DAG-based consensus protocol
• Smart Contracts: EVM-compatible
• Category: DePIN, Distributed Computing, DeFi
• Total Supply: 21,000,000 OGPU
• Max Supply: 21,000,000 OGPU
• Circulating Supply: Approximately 19.64 million OGPU
• Launch Date: 2024
• Official Website: https://opengpu.network/
• Whitepaper: https://opengpu.network/whitepaper
• Blockchain Explorer: https://ogpuscan.io
• Enterprise Routing Gateway: https://relay.opengpu.network
• CertiK Rating: 3.5 (Audits)

Who created OpenGPU?

OpenGPU was founded by Ramazan Fatih Karadeniz, who serves as Founder and CEO according to the project's LinkedIn company page. The project was co-founded by a computer scientist with deep expertise in blockchain protocols, smart contract security, and distributed infrastructure, as stated on the official About page. The team behind OpenGPU has built a network that is live and production-tested, running real AI workloads across distributed GPU infrastructure. Detailed public information about the full team composition and individual backgrounds is currently limited beyond these references.

How does OpenGPU work?

OpenGPU operates through two complementary execution layers. The first is OpenGPU Mainnet, a purpose-built Layer 1 blockchain that uses a Lachesis DAG-based consensus protocol. This network delivers sub-second finality, handles 10,000 transactions per second, and is fully EVM-compatible. The blockchain is used specifically for task allocation, validation, execution tracking, and settlement, rather than for general-purpose DeFi or unrelated smart contracts. Every transaction carries workload metadata, provider updates, and verification proofs, with consensus and routing tightly coupled to keep pace with real-time task flow.

The second layer is Relay, an enterprise routing gateway that allows businesses and developers to route AI workloads using familiar cloud-style workflows. Relay abstracts the underlying blockchain and decentralised infrastructure, enabling enterprises to route workloads without directly interacting with crypto, pay per task, avoid vendor lock-in, and access global GPU capacity on demand. The network follows a verification pipeline of Submit, Route, Execute, Verify, and Settle, with millions of compute tasks already verified on mainnet.

What makes OpenGPU unique and valuable?

OpenGPU distinguishes itself by functioning as a routing and orchestration layer rather than a marketplace or single cloud provider. This means centralised clouds, independent data centres, and individual GPU operators all become interchangeable execution targets within a single global network. The project emphasises compute without boundaries, enabling workloads to be routed to any GPU instantly and automatically at up to 70% lower cost than traditional cloud services. It positions itself as a data centre without walls, offering better performance and lower cost without requiring users to manage infrastructure themselves.

The network is backed by global scale, with live, production-tested infrastructure running real AI workloads worldwide. Its purpose-built Layer 1 blockchain is engineered specifically for compute rather than speculation, with parallel task blocks and task-based settlement. The platform also features Neo, an autonomous AI agent that runs on OpenGPU infrastructure, demonstrating how AI agents can execute real workloads through the network without relying on traditional centralised cloud dependency. Additionally, the network reports 98.1% reliability with automated failover and redundancy, and supports a wide range of workloads including model serving, training, generative media, and simulation research.

What is OpenGPU used for?

The OGPU token serves multiple functions within the OpenGPU ecosystem. It acts as the currency for transactions within the network, rewarding node operators and covering fees. Token holders can participate in staking and governance, giving them a role in the network's decision-making processes. Payment options on the platform include topping up with fiat or the OGPU token. The network itself supports a variety of compute-intensive workloads, including model serving and inference for large language models and vision models, training and fine-tuning with elastic allocation, generative media and 3D acceleration for video, image, audio, and 3D generation, as well as simulation and research applications such as reinforcement learning and large-scale experiments. These workloads are targeted at developers, enterprises, GPU providers, and teams running production-grade AI and inference operations.

How Is the OpenGPU ecosystem developing?

The OpenGPU ecosystem is active and growing, with live network metrics showing significant activity. The network has processed over 49 million transactions, with more than 41 million verified tasks and daily transactions reaching over 17,000. There are more than 316 active GPU providers distributed across over 40 countries, contributing to a global capacity network. The platform offers a Provider Suite Installer for MacOS, Windows, and Linux, allowing individuals to share GPU resources and earn rewards. A Client Dashboard enables users to run models and access decentralised GPUs instantly, with API documentation available for developers.

The project maintains an active blog covering decentralised GPU compute, AI workloads, and network developments, with a guide published in February 2026 titled "What Is OpenGPU Network? Decentralized GPU Compute." The ecosystem also includes Neo, an autonomous AI agent running on the network as a live example of its capabilities. Community presence spans Instagram, LinkedIn, Reddit, Facebook, and YouTube, where the project has been featured in coverage discussing its potential. The network continues to expand its enterprise routing capabilities through Relay, positioning itself for broader adoption in the AI and high-performance computing space.

How to mine OpenGPU?

OpenGPU does not use traditional proof-of-work mining. Instead, the network operates on a proof-of-execution model where GPU providers contribute computational resources to the network and earn OGPU tokens as rewards. To participate, providers can download the Provider Suite Installer for their operating system, available for MacOS, Windows, and Linux. Once installed, providers share their GPU resources with the network, which routes AI and high-performance computing workloads to available capacity. Tasks are validated, verified, and settled automatically on-chain through the verification pipeline. Providers are rewarded in OGPU tokens for their contributions, and the token also plays a role in staking and governance. This model allows individuals and organizations with idle GPU capacity to monetise their hardware by serving real AI workloads across the global network.

How to keep your OpenGPU Coin safe?

Keeping OGPU tokens safe requires following standard cryptocurrency security practices. Since OpenGPU operates on Ethereum and its own OpenGPU Mainnet, users should store their tokens in compatible wallets that support these networks. Hardware wallets are recommended for holding significant amounts, as they keep private keys offline and protected from online threats. Users should always verify contract addresses and official links before interacting with any platform, and avoid sharing private keys or seed phrases with anyone. When using decentralised applications or the OpenGPU network directly, it is important to double-check URLs and ensure they are connecting to official resources. For those using enterprise routing through Relay, the platform abstracts blockchain interactions, but standard account security measures such as strong passwords and two-factor authentication should still be applied. Regularly updating wallet software and being cautious of phishing attempts are also essential practices for protecting OGPU holdings.