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TARS AI—token ticker TAI—is positioning itself as a “middleware” layer that lets any blockchain dApp spin up, fine-tune, and monetize artificial-intelligence models on demand. Instead of centralized APIs or GPU silos, TARS AI offers a permissionless marketplace where model creators, GPU providers, and end-users meet under a single economic token: TAI coin. Below is a concise guide for airdrop hunters, DeFi builders, and Gate.io traders who want to understand how tars ai bridges the two hottest narratives of 2025: AI and <a href="/ja/web3" target="_blank" class="blog_inner_link">Web3</a>.
##1. Why Do We Need TARS AI?
Current AI infrastructure relies on closed platforms—think OpenAI or Anthropic—where pricing, datasets, and usage terms change overnight. On the other side, <a href="/ja/web3" target="_blank" class="blog_inner_link">Web3</a> developers struggle to embed AI into smart contracts or NFTs without leaving the chain. TARS AI’s scalable infrastructure solves both issues:
- Decentralized GPU pool – anyone can stake GPUs and earn tai token rewards.  
- On-chain model registry – every model version is IPFS-hashed, time-stamped, and royalty-enabled.  
- Pay-per-call micro-billing – dApps pay in TAI, routed by a Layer-2 rollup for sub-cent fees.
Result: AI becomes a modular plug-in for DAOs, GameFi, DeFi risk engines, and even Gate.io trading bots.

##2. How the TARS AI Architecture Works
1. Model Masons upload or fine-tune models (GPT derivatives, Stable Diffusion checkpoints).  
2. Compute Contributors rent GPU cycles via Docker containers with secure enclaves.  
3. Job Router batches inference requests, settling fees in tai coin through an optimistic rollup on Arbitrum.  
4. DAO auditors stake TAI to vote on model quality, slashing bad actors that deliver wrong outputs.
Thanks to this design, inference latency stays under 500 ms for most LLM queries—good enough for real-time GameFi or on-chain oracle scoring.

##3. Tokenomics Snapshot (July 2025) of TARS AI

| Metric  | Value  |
| ------------ | ------------ |
|  Ticker | TAI  |
|  Total supply | 1 000 000 000  |
|  Circulating |  420 000 000 |
|  Inflation | 3 % year 1; 1 % by year 5  |
|  Initial distribution | 40 % community/airdrop, 20 % team (4-year vest), 15 % GPU mining rewards, 15 % treasury, 10 % eco funds  |

Every inference call burns 0.5 % of paid TAI; another 1 % routes to a buy-back pool. This deflationary twist incentivizes usage while rewarding long-term holders—one reason tai coin price outperformed most AI tokens during Q2 2025.

##4. Live Products and Use Cases of TARS AI
- TARS Forge – a no-code studio where NFT projects mint AI-generated lore; already integrated by two popular PFP collections.  
- Lens-GPT Oracle – scores DeFi loan applications using on-chain credit snapshots + LLM risk prompts.  
- Gate <a href="/ja/price/quant-qnt" target="_blank" class="blog_inner_link">Quant</a> Plug-in – (beta) lets Gate.io API traders feed real-time order-book data into TARS models for sentiment tagging; fees payable in TAI coin at a 20 % discount.

The project reports 18 million inference calls in June alone, burning ~360 000 TAI.

##5. Roadmap Highlights 2025–2026 of TARS AI
- Cross-chain Data Lake – zk-proof pipeline so private datasets can train models without leaving owner wallets.  
- Mobile Edge Nodes – Android devices mine TAI by donating idle Neural engines.  

##6. How to Get TAI on Gate.io

1. Spot trade – find TAI/USDT or TAI/BTC pairs with < 0.2 % spreads.  
2. Gate Earn – stake TAI for up to 14 % APR; rewards are paid daily in tai cryptocurrency.  
3. Airdrop quests – Gate Missions occasionally list “Run a TARS AI model” tasks; completing them drops micro-rewards to your Gate account.

Tip: Withdraw on Arbitrum to pay < 0.05 $ in gas—far cheaper than ERC-20 mainnet transfers.

##7. Risks and Considerations
- Model spam – without vigilant DAO scoring, low-quality uploads could bloat storage and undermine trust.  
- GPU centralization – whales might hoard mining rewards; TARS plans a quadratic payout curve to offset this.  
- Regulatory AI rules – emerging laws on model liability could affect marketplace volumes and tai coin price.

##Conclusion
By merging a decentralized GPU marketplace, on-chain model registry, and token-driven governance, TARS AI turns artificial intelligence into a standard <a href="/ja/web3" target="_blank" class="blog_inner_link">Web3</a> building block. For Gate.io users seeking exposure to both AI and infrastructure narratives, TAI coin offers not just trading opportunities but actual utility—discounted model calls, staking yield, and Launchpad bonuses. As always, track roadmap ution, uate real usage metrics, and leverage Gate.io’s robust eco to participate in the future of tars ai.


<div class="blog-details-info">
<div>Author: **Cinnie**, Gate.io Researcher
<div class="info-tips">\*This article represents only the views of the researcher and does not constitute any investment suggestions. Investment involves risks and users need to make careful decisions.
<div>\*Gate.io reserves all rights to this article. Reposting of the article will be permitted provided Gate.io is referenced. In all cases, legal action will be taken due to copyright infringement.
</div>

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TARS AI (TAI): Connecting AI and Web3 With Scalable Infrastructure