HyperGPT (HGPT) Price, Charts, Market Capitalization
HyperGPT (HGPT) Graphics
HyperGPT (HGPT) is an ERC-20 utility and governance token that powers the HyperGPT Network, a decentralized AI infrastructure built to deliver high-performance model training, low-latency inference, and community-driven governance. By combining peer-to-peer GPU compute, on-chain model markets, and token incentives, HGPT enables developers, researchers, and enterprises to build, share, and monetize AI services in a transparent, secure, and scalable way.
📊 HyperGPT (HGPT) at a Glance
| Feature | Details |
|---|---|
| Token Name | HyperGPT (HGPT) |
| Blockchain | Ethereum (ERC-20) |
| Category | Decentralized AI, Model Marketplace, GPU Compute |
| Total Supply | 1,000,000,000 HGPT |
| Circulating Supply | 200,000,000 HGPT |
| Use Cases | Model training, inference, data licensing, governance |
| Website | hypergpt.ai |
| SEO Keywords | HyperGPT, HGPT token, decentralized AI, GPU compute, model market |
🔍 What Is HyperGPT?
HyperGPT is a blockchain-native AI ecosystem that enables:
- Peer-to-peer GPU Compute: Stake HGPT to become a compute provider and rent out GPU cycles for machine learning tasks.
- On-chain Model Marketplace: Tokenize and trade AI models as Model NFTs, embedding usage rights and royalty rules.
- Decentralized Inference APIs: Pay per-call inference in HGPT, delivering low-latency services for chatbots, vision, and analytics.
- Data & Dataset Exchange: License high-quality training datasets via Data NFTs with automatic royalty distribution.
- DAO Governance: HGPT holders propose and vote on network upgrades, fee parameters, and ecosystem grants.
✨ Key Features
- Scalable Model Training
- Distribute large-scale training jobs across a global network of staked GPU providers.
- Pay for compute in HGPT at transparent, market-driven rates.
- On-Demand Inference
- Deploy hosted inference endpoints for NLP, image recognition, and predictive analytics.
- Metered usage charged per request, ensuring cost-efficiency for developers.
- Tokenized Model & Data NFTs
- Mint trained models and curated datasets as NFTs, defining royalty splits on both primary and secondary sales.
- Encourage a vibrant marketplace of specialized AI assets.
- Deflationary Tokenomics
- A portion of compute and marketplace fees is burned, gradually reducing supply to support long-term token value.
- Community-Driven DAO
- Decentralized governance ensures protocol parameters, new feature additions, and fund allocations reflect community consensus.
📈 HGPT Tokenomics
| Metric | Value |
|---|---|
| Total Supply | 1,000,000,000 HGPT |
| Circulating Supply | 200,000,000 HGPT |
| Staking APR | 10–18% (variable based on network utilization) |
| Fee Burn Rate | 2% of all compute and marketplace transaction fees |
| Use Cases | Compute fees, Model & Data licensing, Governance voting |
🚀 Use Cases & Applications
- Enterprise AI Workloads
Companies offload training and inference for fraud detection, customer support, and predictive maintenance to HyperGPT’s decentralized compute network. - AI SaaS & APIs
Developers integrate HyperGPT inference endpoints into applications—such as real-time translation, sentiment analysis, and image classification—paying only for what they use. - Research & Academia
Researchers access on-chain data and GPU compute for experiments, ensuring reproducibility via immutable provenance records. - NFT & Metaverse
Power dynamic, AI-driven NFTs and virtual agents in metaverse environments with real-time model updates and inference. - Edge AI Offloading
Enable lightweight devices (IoT, mobile) to perform complex AI tasks by offloading compute to the HyperGPT network.
✅ Pros and ❌ Cons
Pros
- Scalable & Cost-Effective: Peer-to-peer pricing undercuts centralized cloud GPU fees.
- Transparent Royalties: Smart-contract-enforced royalty distribution for data and model creators.
- DAO Governance: Community-led decision-making on upgrades and fee structures.
- Interoperable: Designed for future Layer-2 and cross-chain expansion.
Cons
- Network Growth Dependent: Performance improves with more GPU providers and dataset contributors.
- Integration Complexity: Adapting AI pipelines to decentralized APIs may require specialized development.
- Token Volatility: HGPT price can fluctuate with crypto and AI market trends.
🛒 How to Buy & Store HGPT
- Select an Exchange
- HGPT is listed on major DEXs (Uniswap, SushiSwap) and select centralized platforms.
- Set Up a Wallet
- Acquire ETH
- Swap for HGPT
- Trade ETH for HGPT on your chosen DEX.
- Secure Your Tokens
- Transfer HGPT to a hardware wallet (Ledger, Trezor) for long-term storage and best security.
🔮 Future Roadmap
- Layer-2 Integration: Deploy on Polygon, Arbitrum, and other Layer-2 chains for lower gas fees.
- Cross-Chain Bridges: Extend HGPT utility to BSC, Avalanche, and Solana.
- Developer SDKs: Launch APIs and libraries for popular ML frameworks (TensorFlow, PyTorch).
- Mobile App: Release iOS/Android interface for job submission, staking, and governance on the go.
- Enterprise Partnerships: Collaborate with AI labs, research institutions, and Fortune 500 companies for enterprise-grade compute nodes and datasets.
🏁 Conclusion
HyperGPT (HGPT) is at the forefront of decentralized AI, merging blockchain incentives with state-of-the-art model training and inference capabilities. By empowering developers, data scientists, and enterprises to access transparent, community-governed AI services, HGPT is paving the way for the next generation of Web3 applications—where compute is borderless, trustless, and democratized.
Disclaimer: This article is for informational purposes only and does not constitute financial advice. Always conduct your own research before investing in cryptocurrencies.
About HyperGPT (HGPT)
| Information Type | Details |
|---|---|
| Symbol | HGPT |
| Network | Ethereum (ERC-20) |
| Website | hypergpt.ai |
| Explorers | Etherscan |
| Community Platforms | Twitter, Telegram, Discord |
| Market Cap | Varies (check CoinGecko or CoinMarketCap) |
| Circulating Supply | Approx. 1.5 billion HGPT |
| Total Supply | 10 billion HGPT |
| Categories | AI Marketplace, Web3, Decentralized Applications (dApps) |
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