OpenGradient Price

OpenGradient is a decentralized infrastructure network designed to host, execute, and verify artificial intelligence models at scale. Rather than operating as a standalone blockchain, OpenGradient functions as a specialized AI coprocessor that enables applications, blockchains, and agents to outsource computationally-intensive tasks to a dedicated network of specialized GPU and Trusted Execution Environment (TEE) nodes. As of 2026-05-02, OpenGradient is trading at $0.2561 with a 24-hour change of +6.84%. The token reached a 24-hour high of $0.2604 and a low of $0.2392, with a trading volume of $2.35M. The current market capitalization stands at $48.65M, representing 19% of the total circulating market value. OpenGradient has a circulating supply of 190M OPG tokens out of a maximum supply of 1B OPG, with a fully diluted valuation of $256.1M. The all-time high price was $0.674, while the all-time low was $0.172. The network was designed to democratize access to AI infrastructure by leveraging a distributed network of GPU and TEE nodes, making it possible to perform complex AI computations without relying on centralized providers. OpenGradient holders can participate in securing and validating the network while earning rewards for their contributions. By 2027, OpenGradient is projected to reach approximately $0.2998, and by 2031, predictions suggest a price of around $0.445, reflecting growing adoption in the decentralized AI computing sector.

OpenGradient was created and launched in 2025 as a decentralized infrastructure network designed to host, execute, and verify AI models at scale. The project represents an innovative approach to distributed computing, functioning as a specialized AI coprocessor rather than a standalone blockchain. OpenGradient was initially offered at a publish price of $0.25 during its launch phase. The network was developed to enable applications, blockchains, and agents to outsource computationally-intensive tasks to a dedicated network of specialized GPU and Trusted Execution Environment (TEE) nodes. This architecture allows for efficient processing of complex AI workloads across a decentralized infrastructure. As of 2026-05-02, OpenGradient has established itself within the Web3 ecosystem with a total supply of 1B OPG tokens and a maximum supply of 1B OPG tokens. The circulating supply stands at 190M OPG tokens, representing approximately 19% of the fully diluted valuation. The OpenGradient project continues to develop its infrastructure for large-scale AI model deployment and verification, positioning itself as a critical component of the decentralized AI computing landscape. The network's design emphasizes security, scalability, and accessibility for various blockchain and AI applications seeking robust computational resources.

OpenGradient was founded by a team of AI and blockchain infrastructure experts dedicated to creating a decentralized network for artificial intelligence. The project emerged from the vision of developing an open intelligence infrastructure that could enable large-scale hosting, execution, and verification of AI models across a distributed network of GPU and Trusted Execution Environment (TEE) nodes. The core team behind OpenGradient combines deep expertise in distributed systems, cryptography, and machine learning to build specialized AI coprocessor capabilities. Rather than functioning as a traditional standalone blockchain, OpenGradient was designed as a dedicated infrastructure layer that allows applications, blockchains, and agents to efficiently outsource computationally-intensive AI tasks to a specialized network of nodes. Since its launch with an initial price of $0.25, OpenGradient has positioned itself as a critical infrastructure provider in the growing intersection of blockchain technology and artificial intelligence. The project's founders envisioned addressing the computational bottlenecks that prevent AI models from operating efficiently at scale within decentralized environments. As of 2026-05-02, OpenGradient operates with a total supply of 1B OPG tokens and a circulating supply of 190M OPG, representing 19% of its fully diluted valuation. The network continues to attract developers and organizations seeking to leverage decentralized AI computation for their applications and services. For the most current information about the team and project developments, you can visit their official website at https://www.opengradient.ai/ or review their whitepaper at https://opengradient.foundation/whitepaper.

OpenGradient operates as a decentralized infrastructure network designed to host, execute, and verify AI models at scale. Rather than functioning as a standalone blockchain, OpenGradient operates as a specialized AI coprocessor that enables applications, blockchains, and agents to outsource computationally-intensive tasks to a dedicated network of specialized GPU and Trusted Execution Environment (TEE) nodes. The OPG token powers this ecosystem by incentivizing network participants to contribute computational resources. As of 2026-05-02, OpenGradient has a circulating supply of 190M OPG tokens out of a total supply of 1B OPG. With a maximum supply of 1B OPG, OPG maintains a controlled tokenomics structure. OpenGradient leverages a BEP-20 standard on its underlying blockchain infrastructure, ensuring compatibility and interoperability within the broader Web3 ecosystem. The network's architecture allows for seamless integration with existing blockchain protocols and decentralized applications, making it a critical infrastructure layer for AI computation at scale. Nodes in the OpenGradient network stake OPG tokens to participate in validating and executing AI workloads. This mechanism ensures network security while creating economic incentives for operators to maintain high-performance infrastructure. The combination of specialized hardware and trusted execution environments creates a secure environment for processing sensitive AI computations. By outsourcing AI tasks to OpenGradient's distributed network, developers can access powerful computational resources without building their own infrastructure. The tokenized incentive structure ensures network sustainability and attracts continuous investment in GPU and TEE node capacity, creating a self-reinforcing cycle of network growth and capability expansion in the AI infrastructure space.

OpenGradient operates on a sophisticated technical architecture designed specifically for decentralized artificial intelligence computation. As a specialized AI coprocessor network, OpenGradient is built on the BEP-20 standard and functions as a dedicated infrastructure layer rather than a standalone blockchain. The core technical design of OpenGradient comprises several key components. The network utilizes a distributed node architecture powered by specialized GPU nodes and Trusted Execution Environment (TEE) nodes. This hybrid infrastructure enables secure and efficient processing of computationally-intensive AI tasks at scale. The GPU nodes handle parallel processing requirements for machine learning models, while TEE nodes provide cryptographic verification and secure computation guarantees. OpenGradient's architecture enables seamless interoperability with other applications, blockchains, and AI agents by allowing them to outsource heavy computational workloads to the dedicated network. This modular design positions OpenGradient as a middleware solution within the broader Web3 ecosystem, facilitating AI computation without requiring applications to build their own infrastructure. The protocol implements a consensus mechanism that verifies AI model execution and results across the network, ensuring computational integrity and preventing malicious activities. This verification layer is crucial for maintaining trust in off-chain AI computations. With a total supply of 1B OPG and currently 190M OPG in circulation, OpenGradient tokenomics incentivize node operators to contribute computing resources. The network's architecture also incorporates governance mechanisms enabling community participation in protocol development and upgrades, reflecting its commitment to decentralization and openness in AI infrastructure.

OpenGradient is positioned as a critical infrastructure layer for decentralized AI computing, with an ambitious vision for the future. As a specialized AI coprocessor network, OpenGradient aims to become the backbone for large-scale AI model deployment across Web3 and beyond. **Near-term Roadmap** The project is focused on expanding its network of GPU and Trusted Execution Environment (TEE) nodes to enhance computational capacity. Key priorities include scaling the infrastructure to support more complex AI workloads and establishing partnerships with major blockchain projects and applications seeking to integrate advanced AI capabilities. **Medium-term Vision (Through 2027)** OpenGradient plans to increase adoption among decentralized applications and autonomous agents by demonstrating superior performance and cost efficiency for AI computations. The network is expected to achieve significant growth in transaction volume and active validators, positioning itself as the preferred choice for offloading computationally-intensive AI tasks. **Long-term Outlook** By 2031, OpenGradient could establish itself as the dominant decentralized AI infrastructure standard. The protocol aims to support increasingly sophisticated AI models and applications, potentially revolutionizing how artificial intelligence is developed and verified in decentralized ecosystems. With total supply of 1B OPG and current circulation of 190M OPG, the token's scarcity is built into the protocol design. **Development Focus** The team is committed to improving network security, expanding geographic distribution of nodes, and enhancing interoperability with major blockchain ecosystems. These efforts are designed to create a robust foundation for enterprise-grade AI applications in Web3.