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$GRVT $PEARL’s 580% Gain Puts AI Computing Rewards in Focus Blockchain projects are developing ways to earn revenue from AI infrastructure, with $PEARL among three examples highlighted by Grayscale on Oct. 23. Zach Pandl, head of research at the digital asset manager, examined $PEARL, $DATA Network, and USD.AI as examples of blockchain applications in AI infrastructure. Pearl, a blockchain project focused on AI computing, aims to let graphics processing units (GPUs) perform AI tasks while simultaneously securing a proof-of-work blockchain. These chips perform many calculations in parallel. Operators could earn blockchain rewards alongside payments for AI services. The analysis reported $PEARL’s 580% gain over three months, citing Coingecko data through Oct. 22. Pandl qualified the projects’ prospects: Their long-term relevance will depend on adoption and competitive economics.” Grayscale’s AI buildout snapshot: $DATA’s 280 million verified records, USD.AI’s $400 million-plus deployed, and Pearl’s 93.5% hash rate jump. Source: Grayscale. $DATA Targets Paid Contributions to AI Training Human-contributed photographs, videos, and voice recordings form the basis of $DATA Network’s approach to supplying material for AI development. The project is building collection, licensing, and tracking tools. Applications using its infrastructure could license datasets to AI laboratories while rewarding the individuals who supplied the information. Training data is material that models process to learn patterns, making its quality and variety relevant to their capabilities. $DATA announced plans Oct. 12 to move its protocol, the software and rules governing its operations, to the Sui blockchain and use Walrus, a decentralized file-storage network, as its default storage layer. USD.AI Connects Blockchain Funding With GPU Loans Expensive computing equipment creates financing needs that USD.AI, a blockchain-based lending platform, addresses through loans secured by GPUs and their associated cash flows. Its GPU financing terms describe funding of up to 80% of deployment costs, subject to credit review and eligibility. Borrowers contribute at least 20% of the cost themselves and repay principal over three to five years. Pooled capital can fund those loans and potentially generate returns for participants. More broadly, decentralized finance lending uses blockchain software to administer financial transactions. Participants remain exposed to borrower defaults, collateral losses, and software failures. Institutional backing for this approach includes crypto exchange Bullish’s (NYSE: BLSH) $100 million credit facility for USD.AI, announced in August to finance GPU-backed loans. That arrangement connects stablecoin capital with physical equipment supporting AI services. Hardware financing also underpins a $43 million hardware and financing agreement between Vertical Data and Alpha Compute Corp. (Nasdaq: ALP), then named Alphaton Capital. The April deal covered infrastructure using Nvidia’s B300, a chip model designed for AI workloads, and operational services for privacy-preserving computing. Nvidia’s (Nasdaq: NVDA) proposed partnerships with six financial institutions target more than $500 billion for AI infrastructure over time. Announced Aug. 10 and subject to final agreements, those platforms would leave financing decisions to institutions assessing customer demand, cash flow, utilization, and residual equipment value.

I’ve been watching $DATA DATA closely, and this move has caught my attention. 👀 Price is trading around $0.15504, up 7.87%, but after a sharp rally, the real question is whether buyers have enough strength to push higher. This is how it began: $DATA climbed from the $0.15291 area toward $0.15702 before facing rejection. Buyers made another strong attempt near $0.1565, but momentum has started cooling, and price is now consolidating around $0.1550. 📊 The technical picture matters here. On the 1-minute chart, MA(5) is near $0.15501, MA(10) around $0.15524, and MA(20) near $0.15559. Price is hovering around the short-term average while remaining below MA(10) and MA(20). That tells me the immediate momentum needs confirmation before another leg higher. 🎯 Key levels I’m watching: * Support: $0.1540–$0.1543 * Resistance: $0.1556–$0.1560 * Breakout level: $0.1570 * Next target: $0.1580–$0.1600 if buyers reclaim resistance with volume. 🐋 I don’t have verified whale or token-unlock data, so I won’t pretend to know what large holders are doing. 🔥 I’m interested in $DATA, but I don’t want to blindly chase the pump. A clean breakout could open the door higher, while losing support may invite another pullback. If you’ve been following this journey with me, I’m still here watching every level. ❤️ Will buyers break $0.1570, or is $DATA preparing for another rejection?

$XLM $DATA Sell Buy $AIAV 10x Pump Loading 🤑🚀

$GRVT The Sui Foundation is investing $30 million in DATA Network as the AI data protocol prepares to move to the Sui blockchain and retire its independent network. The investment will make Sui Foundation DATA Network’s largest institutional holder, according to an announcement on October 12, 2026. The partnership also brings DATA Network’s Trace registry into Sui’s ecosystem, with Walrus set to become the default storage layer for applications operated by DATA Foundation. The move aims to connect AI developers with data whose origins and usage rights can be checked before it is used to train models. DATA Network focuses on tracking real-world data contributions and the rights attached to them. Its Trace registry, launched in June 2026, records where data comes from and supports payments to contributors. DATA Foundation said Trace has registered more than 250 million contributions and processes over three million receipts per day on average. DATA Token to Migrate at a 1:1 Ratio Under the plan, DATA Network will run as a protocol on Sui, while its standalone blockchain will be retired after the transition. Existing DATA tokens are expected to migrate to Sui on a one-to-one basis. The announced terms also say holders’ economic and governance rights will remain at least equivalent to their current rights, while existing lockups and vesting schedules will carry over. The migration has not yet been completed. DATA Network will continue operating until the upgrade is finished, and the foundations said they will publish a detailed timeline and token-holder transition plan beforehand. Walrus will provide storage for the original data files, including encrypted copies with controlled access. Combined with Trace’s records, this is intended to let AI labs check a dataset against its registered source rather than rely only on information supplied when the record was created. Sui Foundation’s investment is part of the wider strategic partnership. The announcement did not disclose a detailed breakdown of the investment or provide a date for the migration. DATA Foundation, previously known as Story Foundation, shifted its focus toward AI training data in June. The integration brings its data registry and related applications into Sui’s infrastructure as demand grows for datasets with documented origins and permissions. [googlesitekit-end-of-content] TagsAIBlockchainSUIsui foundation