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The Big Bet on Crypto’s AI Infrastructure

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Artificial intelligence is transforming the technology landscape, and it’s not just traditional players like Nvidia and Google that are shaping the future. A new, decentralized movement is emerging — one that merges AI and blockchain to create open, scalable and trustless infrastructure.

As AI systems demand increasingly powerful compute and reliable data systems, crypto-native platforms are stepping up. These systems aren’t just offering alternatives, they’re beginning to power real workloads and reimagine how AI is built and governed.

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Decentralized compute is getting real

The idea of decentralized GPU networks where users rent compute on demand and hardware owners earn income by sharing idle resources was once seen as futuristic. Today, it’s rapidly becoming operational, with platforms supporting live AI inference and training tasks.

io.net is one of the leaders in this space. With over 10,000 active nodes distributed, it delivers scalable compute-on-demand via decentralized infrastructure. The network uses advanced technologies like Ray-based distributed systems and proof-of-work/time-lock mechanisms to ensure reliability and efficient coordination.

Meanwhile, Aethir is positioning itself as an enterprise-grade alternative to traditional GPU clouds. With more than 400,000 high-end GPU containers onboarded including over 3,000 NVIDIA H100 and H200 units, Aethir is designed for performance-heavy AI workloads. Its network continues to scale as new cloud hosts join to meet demand across AI and gaming.

These platforms don’t just provide compute, they tokenize it. Through native incentives, they encourage participation from hardware providers and validators, while offering developers a scalable and often more cost-effective alternative to traditional cloud solutions.

Building a decentralized AI stack

Decentralized compute is just the starting point. An entire AI infrastructure is forming around blockchain-native principles such as transparency, verifiability and user ownership.

Model hosting is being reimagined by projects like Bittensor, which offers peer-to-peer training and inference across a global network. Its subnet architecture allows participants to contribute models, compete on performance and earn rewards, all without centralized oversight.

Data infrastructure is evolving, too. Filecoin has emerged as a decentralized storage solution capable of supporting large-scale AI datasets. Organizations like Singularity and Kite AI are now leveraging Filecoin to store not just raw data, but metadata and training resources as well, paving the way for private and decentralized data pipelines.

Investing in the future: AI tokens vs. big tech

For investors, crypto-native tokens offer a fundamentally different kind of exposure to the AI boom. While traditional equities like Nvidia or AMD provide access to the hardware and infrastructure layers of enterprise AI, tokens like Fetch.ai and Bittensor represent ownership in open, decentralized networks.

These projects are experimenting with peer-to-peer training, token-governed inference markets and decentralized agent economies. While riskier and more experimental than legacy tech companies, they also align with a bottom-up vision of AI, one that values participation, integrity and open access to compute and data.

What’s next

As decentralized AI ecosystems mature, a number of groundbreaking innovations are beginning to take shape:

  • Autonomous AI agents: Self-operating agents capable of executing smart contracts, transacting on-chain and coordinating with other agents without human input.
  • On-chain/off-chain interoperability: Hybrid models are emerging that bridge powerful off-chain AI with trust-minimized, on-chain logic and decision-making.
  • Tokenized AI marketplaces: These platforms will allow developers and users to deploy, evaluate and monetize models and agents in transparent, decentralized environments that will open the door to human-to-agent and agent-to-agent economic networks.

The road ahead

The convergence of AI and crypto is no longer theoretical, it’s becoming an architectural shift in how intelligence is created, deployed and governed. If AI is to remain inclusive and secure, it must move beyond the closed, black-box systems.

Blockchain’s transparent, programmable infrastructure offers a compelling alternative. As decentralized networks scale, we’ll likely see an increasing number of AI applications built on-chain and governed by tokens, executed by global contributors and owned by the communities they serve.

Disclaimer: The author may hold personal positions in some of the tokens mentioned.

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Asia Morning Briefing: Fragility or Back on Track? BTC Holds the Line at $115K

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Good Morning, Asia. Here’s what’s making news in the markets:

Welcome to Asia Morning Briefing, a daily summary of top stories during U.S. hours and an overview of market moves and analysis. For a detailed overview of U.S. markets, see CoinDesk’s Crypto Daybook Americas.

Bitcoin (BTC) traded just above $115k in Asia Tuesday morning, slipping slightly after a strong start to the week.

The modest pullback followed a run of inflows into U.S. spot ETFs and lingering optimism that the Federal Reserve will cut rates next week. The moves left traders divided: is this recovery built on fragile foundations, or is crypto firmly back on track after last week’s CPI-driven jitters?

That debate is playing out across research desks. Glassnode’s weekly pulse emphasizes fragility. While ETF inflows surged nearly 200% last week and futures open interest jumped, the underlying spot market looks weak.

Buying conviction remains shallow, Glassnode writes, funding rates have softened, and profit-taking is on the rise with more than 92% of supply in profit.

Options traders have also scaled back downside hedges, pushing volatility spreads lower, which Glassnode warns leaves the market exposed if risk returns. The core message: ETFs and futures are supporting the rally, but without stronger spot flows, BTC remains vulnerable.

QCP takes the other side.

The Singapore-based desk says crypto is “back on track” after CPI confirmed tariff-led inflation without major surprises. They highlight five consecutive days of sizeable BTC ETF inflows, ETH’s biggest inflow in two weeks, and strength in XRP and SOL even after ETF delays.

Traders, they argue, are interpreting regulatory postponements as inevitability rather than rejection. With the Altcoin Season Index at a 90-day high, QCP sees BTC consolidation above $115k as the launchpad for rotation into higher-beta assets.

The divide underscores how Bitcoin’s current range near $115k–$116k is a battleground. Glassnode calls it fragile optimism; QCP calls it momentum. Which side is right may depend on whether ETF inflows keep offsetting profit-taking in the weeks ahead.

(CoinDesk)

Market Movement

BTC: Bitcoin is consolidating near the $115,000 level as traders square positions ahead of expected U.S. Fed policy moves; institutional demand via spot Bitcoin ETFs is supporting upside

ETH: ETH is trading near $4500 in a key resistance band; gains are being helped by renewed institutional demand, tightening supply (exchange outflows), and positive technical setups.

Gold: Gold continues to hold near record highs, underpinned by expectations of Fed interest rate cuts, inflation risk, and investor demand for safe havens; gains tempered somewhat by profit‑taking and a firmer U.S. dollar

Nikkei 225: Japan’s Nikkei 225 topped 45,000 for the first time Monday, leading Asia-Pacific gains as upbeat U.S.-China trade talks and a TikTok divestment framework lifted sentiment.

S&P 500: The S&P 500 rose 0.5% to close above 6,600 for the first time on Monday as upbeat U.S.-China trade talks and anticipation of a Fed meeting lifted stocks.

Elsewhere in Crypto

  • Coinbase App Store ranking suggests retail still on sidelines despite crypto rally (The Block)
  • Robinhood Expands Private Equity Token Push With New Venture Capital Fund (CoinDesk)
  • Strategy Adds $60 Million to Bitcoin Treasury in Smallest Buy in a Month (Decrypt)
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Wall Street Bank Citigroup Sees Ether Falling to $4,300 by Year-End

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Wall Street giant Citigroup (C) has launched new ether (ETH) forecasts, calling for $4,300 by year-end, which would be a decline from the current $4,515.

That’s the base case though. The bank’s full assessment is wide enough to drive an army regiment through, with the bull case being $6,400 and the bear case $2,200.

The bank analysts said network activity remains the key driver of ether’s value, but much of the recent growth has been on layer-2s, where value “pass-through” to Ethereum’s base layer is unclear.

Citi assumes just 30% of layer-2 activity contributes to ether’s valuation, putting current prices above its activity-based model, likely due to strong inflows and excitement around tokenization and stablecoins.

A layer 1 network is the base layer, or the underlying infrastructure of a blockchain. Layer 2 refers to a set of off-chain systems or separate blockchains built on top of layer 1s.

Exchange-traded fund (ETF) flows, though smaller than bitcoin’s (BTC), have a bigger price impact per dollar, but Citi expects them to remain limited given ether’s smaller market cap and lower visibility with new investors.

Macro factors are seen adding only modest support. With equities already near the bank’s S&P 500 6,600 target, the analysts do not expect major upside from risk assets.

Read more: Ether Bigger Beneficiary of Digital Asset Treasuries Than Bitcoin or Solana: StanChart

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XLM Sees Heavy Volatility as Institutional Selling Weighs on Price

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Stellar’s XLM token endured sharp swings over the past 24 hours, tumbling 3% as institutional selling pressure dominated order books. The asset declined from $0.39 to $0.38 between September 14 at 15:00 and September 15 at 14:00, with trading volumes peaking at 101.32 million—nearly triple its 24-hour average. The heaviest liquidation struck during the morning hours of September 15, when XLM collapsed from $0.395 to $0.376 within two hours, establishing $0.395 as firm resistance while tentative support formed near $0.375.

Despite the broader downtrend, intraday action highlighted moments of resilience. From 13:15 to 14:14 on September 15, XLM staged a brief recovery, jumping from $0.378 to a session high of $0.383 before closing the hour at $0.380. Trading volume surged above 10 million units during this window, with 3.45 million changing hands in a single minute as bulls attempted to push past resistance. While sellers capped momentum, the consolidation zone around $0.380–$0.381 now represents a potential support base.

Market dynamics suggest distribution patterns consistent with institutional profit-taking. The persistent supply overhead has reinforced resistance at $0.395, where repeated rally attempts have failed, while the emergence of support near $0.375 reflects opportunistic buying during liquidation waves. For traders, the $0.375–$0.395 band has become the key battleground that will define near-term direction.

XLM/USD (TradingView)

Technical Indicators
  • XLM retreated 3% from $0.39 to $0.38 during the previous 24-hours from 14 September 15:00 to 15 September 14:00.
  • Trading volume peaked at 101.32 million during the 08:00 hour, nearly triple the 24-hour average of 24.47 million.
  • Strong resistance established around $0.395 level during morning selloff.
  • Key support emerged near $0.375 where buying interest materialized.
  • Price range of $0.019 representing 5% volatility between peak and trough.
  • Recovery attempts reached $0.383 by 13:00 before encountering selling pressure.
  • Consolidation pattern formed around $0.380-$0.381 zone suggesting new support level.

Disclaimer: Parts of this article were generated with the assistance from AI tools and reviewed by our editorial team to ensure accuracy and adherence to our standards. For more information, see CoinDesk’s full AI Policy.

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