Project Concept and Features

Datai Network addresses the limitations of traditional centralized cloud GPU rental services, offering a decentralized solution. By aggregating globally distributed GPU resources, the platform provides scalable, cost-efficient, and reliable infrastructure for AI training, inference, and big data analytics.

Key Features

• Decentralized GPU Marketplace: Users can rent unused computing power and earn $DATAI tokens.

• AI-Focused: Optimized for AI and machine learning workloads.

• Community Governance: Prioritizes decisions through a Decentralized Autonomous Organization (DAO).

• Efficient Resource Use: Idle hardware contributes to economic and environmental efficiency.

• Enhanced Security and Privacy: Decentralized architecture ensures data and workload protection.

Partners

• ChainGPT

• Shima Capital

• r3

• Blizzard (Avalanche Ecosystem Fund)

• Big Brain Holdings

• Outlier Ventures

• SIX Fintech Ventures

• GSR

How It Works

Datai Network operates on a node-based architecture:

• Indexer Node: Indexes developer-created projections, processing on-chain activities into usable data.

• Gateway Node: Routes user requests to relevant indexers and delivers data.

• Projections: Code bundles that calculate user positions, reward balances, and pool data for specific protocols.

• Subgraph: Indexes events to identify active users in each protocol.

• Watcher: Periodically analyzes subgraph data to compute current positions.

These components deliver enriched, reliable, and AI-ready on-chain insights.

Team and Founders

• Elie Azzi: Co-founder & CEO, blockchain engineer since 2016, creator of Merlin, DeFi analytics expert.

• Maria Mounayar: Co-founder & COO, Amazon/AWS experience, operations and marketing background, Web3 transition through Merlin.

• Igor Lessio: CTO, extensive experience in software, logistics, and AI.

• Carmen: Product Manager, skilled in bridging traditional technology and Web3 products.

Roadmap

Q4 2025

• Token Generation Event (TGE)

• Expansion to non-EVM chains like Solana and Sui

• Launch of Web3 data solution for AI/ML training

• Execution Layer partnership for agent independence

• Developer integration acceleration via Ambassador Program

Q1 2026

• Transition from centralized to fully decentralized network

• Scale revenue via business development efforts

• Continue expanding data coverage with developer incentives

• Extend Chain Insights Solution across more chains

Governance

Datai Network will implement DAO governance with $DATAI token holders:

• Mechanism: Stake tokens to submit proposals and vote.

• Decisions: Protocol upgrades, fee structures, reward distribution, treasury usage, and feature integrations.

Token Information ($DATAI)

• Total Supply: 1 billion DATAI

• Max Supply: 1 billion DATAI

• Circulating Supply (self-reported): 41.22 million DATAI

Token Utility

• Data Consumers: Pay for network data queries and enjoy discounted fees.

• Network Stakeholders: Indexers, developers, and data aggregators earn $DATAI and stake tokens as collateral for honest behavior.

• In-House Applications: 10% buyback from platform revenue; token used to meet current customer demand.

• External Applications: Stake $DATAI to join the network and pay for data access.

DATAI Token Allocation

• Seed Round: 29%

• Treasury Reserve: 14.2%

• Team & Advisors: 15%

• Liquidity: 10%

• Ecosystem Grants: 8%

• Validator Rewards: 8%

• Early Backers: 8%

• Staking Rewards: 4%

• Public Round: 2.4%

• KOL Round: 2.4%

• Marketing: 8%

Ecosystem

Datai Network ecosystem consists of:

• AI/ML Developers: Users renting computing power for AI workloads.

• GPU Providers/Miners: Individuals or institutions monetizing idle hardware.

• DAO Community: $DATAI holders participating in governance and network decisions.

Features

• Decentralized, community-driven data and computing network

• Projection system for easy integration with multiple protocols

• Optimized on-chain analytics via Subgraph and Watcher modules

• AI-powered DeFi research through Crunchie

• Transforms raw data into AI-ready insights

• Scalable node architecture for high accuracy and security

Official Links

• Website
• Twitter
• Telegram

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How Did the Numbers Come In?

As a company, NVIDIA generated a total revenue of 57.01 billion dollars. This figure represents a 62% increase compared to last year, which is the first striking detail. Looking at the stock performance, we can see that investors earned 1.30 USD per share. The largest portion of revenue comes from the data center segment, from which NVIDIA earned a total of 51.2 billion dollars. At the end of the report, the company stated that it generated a net profit of 31.91 billion dollars.

What Are NVIDIA’s Expectations for Q4?

The company has already rolled up its sleeves and begun preparations for the fourth quarter. In fact, they announced an ambitious outlook for the FY26 Q4 report. NVIDIA’s revenue expectation for the upcoming period is approximately 65 billion dollars. Market expectations, however, are around 61.5 billion dollars. This indicates that NVIDIA is likely to maintain its positive pricing momentum in the next quarter. Overall, NVIDIA looks excellent and has once again strengthened investor confidence. This strong report clearly demonstrates the company’s belief in the infrastructure of artificial intelligence.

This article may catch your attention: Top Altcoins Most Discussed on Social Media During the Sharp Market Crash Revealed!

What Is the Current Situation of $NVIDIA Stock?

It appears that the support level at 180.5 USD has reacted upward. Since the earnings report arrived after yesterday’s closing, the opening price will likely be near the resistance zone.

If the 202 USD resistance zone is broken, the stock may reach a new ATH and once again exceed a 5 trillion dollar valuation. For NVIDIA, the lower level of 165 USD does not currently seem likely in the short term; however, if a crash were to drive the price down to that range, it would represent an attractive buying opportunity.

For the latest breaking crypto news, click here

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Team and Founders

GAIB is led by CEO Kony with a team of blockchain, DeFi, AI, and high-performance computing experts. Founders and key team members have deep experience in protocol security, tokenomics, and AI infrastructure financing.

• Kony Kwong: CEO & Co-Founder

• Alex Yeh: Co-Founder

• Mathilda Sun: Head of Strategy

Investors and Notable Partners

GAIB has established strategic partnerships with leading institutional investors, Web3 projects, and traditional cloud companies to bring the AI infrastructure economy on-chain.

• Institutional Investors: Hack VC, Faction, Spartan, Antalpha, Amber Group, L2IV, CMCC, IDG Blockchain, and more

• Web3 Projects: Aethir, io.net, Exabits, Morpho, Pendle Finance, Curve

• Cloud & Robotics: GMI Cloud, SIAM Cloud, NorthStar, PaleBlueDot.AI, Primech AI, Openmind, Camp, PrismaX

GAIB is expanding globally with over $2.5B worth of GPU assets from more than a dozen data centers across 10+ countries.

Project Concept

GAIB aims to tokenize GPU and AI infrastructure and connect it with global investors. Data centers and cloud providers can quickly finance GPU and robotics assets, while investors gain direct exposure to the AI compute economy. GAIB seeks to become the economic layer for all AI infrastructure assets and provide the financial foundation that powers the intelligence economy.

How the Project Works

GAIB converts investor stablecoins into real-world AI infrastructure. Investors receive AID tokens; when staked, these become sAID tokens, providing proportional ownership of GPU, data center, or robotics revenue. The protocol tokenizes the assets, manages returns, and distributes them to investors. The process is secured with third-party auditors and insurers.

GAIB Protocol – Five Layers

1. Blockchain Settlement Layer (NETWORK): Immutable record of verified asset states

2. Asset Validation Layer (PROOF): Verifies AI infrastructure authenticity

3. Tokenization Layer (ONRAMP): Converts real-world assets into on-chain tokens

4. Financialization Layer (REWARD): Transforms validated asset performance into programmable on-chain value

5. Liquidity Layer (LIQUID): Integrates tokenized AI assets into DeFi markets

These layers allow GAIB to create a transparent, efficient, and liquid market from GPU and AI infrastructure.

Token Mechanism / Operation

GAIB tokenizes AI assets; institutional GPUs and robotics are staked into ERC-4626 vaults to produce AID tokens. Staking AID generates sAID, which represents ownership in the AI infrastructure portfolio. Validators verify data, participants are rewarded proportionally, and DeFi protocols maintain liquidity.

Governance

GAIB governance is conducted via veGAIB token holders, who can approve asset classes, set protocol parameters, and vote on network upgrades. Initially managed by the Atreides Council, governance will transition to a fully on-chain, community-driven “Fremen Rule” model.

Roadmap

• June 2024: Project launch and fundraising

• Dec 2024: $5M pre-seed round completed

• Jan 2025: GPU tokenization pilot with Aethir on BNB Chain, raising $100k

• Oct 31, 2025: Mainnet launch with AID/sAID integration

• Nov 2025: Tokenomics and GAIB Foundation announced; community and liquidity rewards launched

• Future: New partnerships, cross-chain integrations, full DeFi expansion, Points Farming (Spice Points) airdrops

Binance Alpha will be the first platform to list GAIB (GAIB) token on November 19.

GAIB Token Uses

• Network and transaction fees

• Validator staking and verification

• Governance participation

• DeFi collateral and liquidity

• AI infrastructure investment rewards

Token Details

• Total Supply: 1,000,000,000 GAIB

• Max Supply: 1,000,000,000 GAIB

• Circulating Supply: 204,830,000 GAIB

• Usage: Staking, governance, rewards, liquidity

• Economic Model: Token value linked to network activity and AI asset productivity

Token Distribution

• Community: 59.5% (40% community + 19.5% ecosystem growth)

• Early Contributors & Backers: 40.5% (20.7% core contributors + 19.8% early investors)

Ecosystem

• AID: Synthetic dollar backed by US Treasury & stable assets

• sAID: Staked AID, earning real AI infrastructure yields

• GAIB Token ($GAIB): Governance, validator security, ecosystem coordination

DeFi protocols like Curve, Pendle, and Morpho integrate with GAIB to provide liquidity and yield opportunities.

Features

• Tokenizes AI infrastructure and integrates with DeFi

• Generates real economic value from GPUs, robotics, and energy systems

• Layer-2 architecture for higher efficiency and scalability

• Real-World Asset (RWA) tokenization

• Validator network ensures secure, transparent verification

• Offers stable and yield-generating DeFi opportunities via AID/sAID

• Multi-chain, modular economic layer architecture

• Direct AI compute investments for investors and data centers

GAIB combines AI and RWA, aiming to simplify access to AI compute, provide liquidity to physical assets, and establish a decentralized governance model at the intersection of crypto and AI.

Official Links

• Website
• X (Twitter)
• Telegram
• Discord

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Team / Founders

The Gensyn founding team consists of scientists and engineers with extensive experience in AI research and distributed computing. They develop the protocol to improve the scalability and verifiability of deep learning models. The company initially operates as Gensyn Limited and functions fully remotely.

Founding Partners

Harry Grieve: Co-founder of Gensyn, an entrepreneur experienced in AI and blockchain.
Ben Fielding: Co-founder of Gensyn, specialized in deep learning and protocol architecture.

Investors & Key Partners

Gensyn has raised $50.6M across multiple rounds, supported by leading AI and crypto investors. The Seed round was led by Eden Block, and the Series A round by a16z Crypto. Notable partners include Protocol Labs (IPFS integration), Polkadot/Kusama (parachain), and a16z Crypto (strategic partnership).

Project Concept

Gensyn provides a network to train and run large-scale machine learning models without relying on centralized servers. Participants can contribute idle computing power, forming a global computational pool. This model accelerates decentralized AI development while reducing costs.

How It Works

The protocol consists of four layers:

• Consistent ML Execution: Ensures the same input produces the same output across all devices.

• Trustless Verification: Tasks are independently verified; errors are detected and resolved.

• Peer-to-Peer Communication: Workloads are efficiently distributed among devices.

• Decentralized Coordination: Participants are assigned, incentives distributed, and payments automated.

Participants are categorized into four roles: Submitters, Solvers, Verifiers, and Whistleblowers. Tasks are monitored through training and verification steps.

Governance

Post-TGE, Gensyn will be governed in a decentralized manner. Initially, technical development is managed by Gensyn Limited. Meanwhile, the Gensyn Foundation represents protocol interests and issues tokens. Governance is conducted via an elected council using on-chain proposals and referendums. Early council members are core team and early community members, gradually moving toward decentralization. Additionally, the foundation manages a treasury funded by a small percentage of task fees to support ongoing protocol and ecosystem development.

Roadmap

• Testnet: Core technology is tested; early participants are rewarded.

• Canarynet: Beta on Kusama parachain, using canary tokens for economic testing.

• Mainnet: Full-featured, public network on Polkadot parachain with mainnet token.

Token Info & Distribution

Token allocation and total supply are determined at TGE. Tokens are primarily used for network transactions and task payments. Gensyn supports distributed ML experiments through products like RL Swarm, BlockAssist, and Judge. The ecosystem focuses on research, community, and collaboration.

Key Features

• Decentralized and open-source

• Globally scalable ML computation

• Low-cost, transparent, and verifiable AI training

• Secure, economical Ethereum rollup-based network

• Automated incentives and payments for participants

Participant Roles

• Submitters: Provide tasks and pay for completed work.

• Solvers: Train models and generate proofs for verification.

• Verifiers: Duplicate and check Solvers’ proofs, linking training to deterministic computation.

• Whistleblowers: Audit Verifiers and can claim rewards for detecting errors.

Ecosystem

Gensyn serves as a foundational infrastructure for ML computation. Applications include CodeAssist, RL-Swarm, and SageMaker-like abstractions. Integrations support Polkadot parachains and IPFS. The community participates via Discord and GitHub, running nodes to contribute. The foundation funds research and data labs. Long-term, Gensyn aims for collective ownership of global AGI while monetizing idle compute to reduce carbon footprint.

Gensyn establishes a foundational layer for Web3 by making decentralized ML computation widely accessible. Consequently, the network supports scalable, collaborative AI model development, enabling humanity to collectively advance machine learning.

Official Links

• Website
• Twitter
• Discord

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A New Chapter in the U.S.–China Trade War

The Trump administration’s strategy aims to reduce China’s dominance in global supply chains. Currently, China accounts for 70% of global rare earth production and 93% of permanent magnet manufacturing—key materials used in defense, technology, and AI infrastructure.

The updated export controls now extend to AI and blockchain-related software, potentially disrupting existing collaborations between American and Chinese tech firms.

Ripple Effects on Crypto: Mining Equipment Costs May Rise

The escalating trade tensions could indirectly impact the crypto market as well. Cryptocurrency mining relies heavily on semiconductors, AI-based systems, and advanced hardware—all of which could become more expensive under the new tariff regime.

Reports suggest that several Chinese mining equipment manufacturers have already begun establishing production facilities in the U.S. to mitigate future import-related risks.

Historical Data: Trade Disputes Tend to Pressure Risk Assets

Looking back, history shows that trade conflicts often lead to selling pressure on risk assets. During the 2018–2019 U.S.–China trade war, both equity and crypto markets experienced heightened volatility and sharp corrections.

Experts warn that the latest developments could similarly fuel short-term uncertainty, driving investors toward safe-haven assets such as gold and stablecoins.

Analysts Warn of Rising Volatility Amid Low Liquidity

Market analysts caution that weekend trading—often characterized by lower liquidity—could amplify volatility. Should China retaliate, the current bearish momentum in crypto markets may persist into the coming week.

In the long run, however, these economic frictions could accelerate decentralization within the crypto sector. A more geographically diverse mining ecosystem might emerge as global operations adjust to ongoing geopolitical and trade disruptions.

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Google and Fluidstack Agreement 

Cipher Mining signed a 10-year colocated AI hosting agreement with cloud AI provider Fluidstack. Under this deal, the Barber Lake project in Colorado City, Texas, will provide 168 MW of critical IT load supported by 244 MW gross capacity. 

The initial term of the agreement is valued at approximately $3 billion, and with two five-year renewal options, the total value could reach $7 billion. Google will back $1.4 billion of Fluidstack’s lease obligations, receiving roughly 24 million Cipher Mining shares, equivalent to 5.4% of pro forma equity. Cipher Mining retains full ownership of the project. 

Financing Move and Growth Strategy 

Cipher also proposed a private offering of $800 million senior convertible notes maturing in 2031 to fund data center expansion. This two-pronged move supports the company’s HPC and AI growth targets. 

As the fourth-largest publicly traded Bitcoin miner by market value, Cipher Mining announced these strategic financing and expansion plans on Thursday. Investors view this as a strong signal of the company’s commitment to HPC and AI development. 

CEO Statement and Future Outlook 

Cipher CEO Tyler Page commented:

“We are excited to collaborate with Fluidstack to develop HPC data centers and welcome Google as an investor in Cipher. This transformative deal enhances our HPC momentum while highlighting our expanding site portfolio. We continue to develop capabilities and strengthen our position in this rapidly growing sector.” 

This statement underscores that the move is the company’s first major HPC-related transaction and demonstrates Google’s strategic interest in combining crypto mining with AI infrastructure. 

Key Highlights of the Deal 

• Google acquires 5.4% stake in Cipher Mining 
• 10-year AI hosting agreement with Fluidstack 
• 168 MW critical IT load at Barber Lake facility 
• Initial value $3 billion, total potential $7 billion 
• Proposed $800 million senior convertible notes maturing in 2031 

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Sources close to the matter revealed the deal values LayerZero at approximately $1 billion, highlighting the company’s rising importance amid AI-driven infrastructure demands.

Powering the Future of AI and High-Performance Computing

Based in Aurora, Ohio, LayerZero manufactures equipment such as static transfer switches, remote power panels, and power distribution units — all essential for ensuring the reliable flow of electricity within data centers.

“As data centers evolve to support the growing needs of AI and high-performance computing, our role has become even more important,” said co-founder Milind Bhanoo.

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The recent AI boom, led by platforms like ChatGPT, has significantly increased the demand for secure and efficient energy solutions across digital infrastructure facilities.

Advent to Scale Up LayerZero’s Manufacturing and Reach

Once the deal closes, co-founders Milind Bhanoo and James Galm will retain minority ownership in LayerZero. Advent plans to help the company scale up manufacturing, broaden its customer base, and expand service capabilities globally.

Former Schneider Electric North America CEO and current Advent operating partner Annette Clayton will serve as Chair of LayerZero post-acquisition, bringing deep industry experience to the company’s next growth phase.

Private Equity Activity Heats Up Again

The deal marks a resurgence in private equity investments after months of cautious slowdown due to macroeconomic uncertainty and trade barriers. Renewed market confidence has reignited appetite for strategic acquisitions.

Earlier this June, Advent also announced a $6.03 billion acquisition of precision instrument maker Spectris, signaling an aggressive expansion in high-tech industries.

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Bilateral Talks on Digital Assets Held in Washington

Bilal Bin Saqib, Pakistan’s Minister of State for Crypto and Blockchain, met with Robert “Bo” Hines, executive director of Trump’s Council on Digital Assets. According to a report by 24NewsHD, the two discussed broad collaboration across Bitcoin, decentralized finance, and cross-border innovation.

Following the meeting, Saqib emphasized:

“It is my mission to position Pakistan as a global leader in digital assets. We’re establishing a Bitcoin reserve and building infrastructure for AI data zones and crypto mining.”

The Trump administration, through Hines and Council Chair David Sacks, has previously expressed strong interest in ensuring the U.S. leads globally in digital asset innovation.

Pakistan Eyes Bitcoin Mining With 2,000 Megawatts of Surplus Power

Beyond creating a reserve, Pakistan is also aiming to convert 2,000 megawatts of surplus electricity into Bitcoin mining and AI-focused infrastructure. The plan is designed to turn underused national resources into digital productivity while boosting employment and modernization.

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The country is also building a regulatory framework. On May 21, Pakistan’s Finance Ministry approved the creation of the Pakistan Digital Assets Authority (PDAA), a new body set to regulate exchanges, custodians, wallets, stablecoins, and DeFi protocols.

IMF Flags Concerns Over Energy Use Amid Economic Strains

However, not everyone is convinced. On May 31, the International Monetary Fund (IMF) raised concerns about the legality and viability of allocating so much energy to crypto mining during an ongoing financial assistance negotiation.

The IMF asked Pakistan’s Finance Ministry to clarify the legal grounds and energy impact of the initiative, especially as the nation battles chronic power shortages and economic instability.

Whether Pakistan can strike a balance between digital innovation and fiscal responsibility remains a critical question in the coming months.

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Electric Surplus Turned into Digital Opportunity

According to reports, Pakistan’s Ministry of Finance, in collaboration with the Pakistan Crypto Council, has allocated 2,000 megawatts of surplus electricity to power Bitcoin mining farms and AI data centers. Finance Minister Muhammad Aurangzeb stated that this decision is expected to attract billions in foreign investment while also creating high-tech job opportunities nationwide.

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In a second phase, the plan includes integrating renewable energy sources into the mining process—emphasizing a commitment to environmentally responsible growth alongside digital innovation.

Clear Regulations, Attractive Incentives

Beyond energy allocation, Pakistan is actively offering tax incentives and duty exemptions to entice international BTC miners and AI firms. Several foreign delegations have reportedly visited the country to explore investment prospects.

To ensure regulatory transparency, the government has established the Pakistan Digital Assets Authority (PDAA), which will oversee licensing for exchanges, wallets, stablecoins, and other blockchain-based platforms. These steps mark a major pivot in Pakistan’s ambition to become a global tech and crypto leader.

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According to the Financial Times, the companies are deep in negotiations to restructure their deal. This overhaul aims to prepare OpenAI for a potential initial public offering (IPO) while securing Microsoft’s long-term access to next-generation AI technologies.

Microsoft Weighs Equity Against Future AI Access

A central issue is how much equity Microsoft will receive in OpenAI’s new for-profit entity, given its $13 billion investment to date. Interestingly, Microsoft is reportedly open to giving up some of its stake in exchange for continued access to technologies developed beyond 2030.

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This rebalancing could mark a strategic shift: less equity in return for guaranteed innovation rights.

Revising the Terms of a Long-Term Alliance

Their partnership dates back to 2019, when Microsoft first invested $1 billion in OpenAI. Now, that original agreement is also on the table for revision as OpenAI seeks greater independence and a more IPO-friendly structure.

Last week, The Information reported that OpenAI plans to share a smaller portion of revenue with Microsoft under its new restructuring plans.

Meanwhile, Microsoft’s broader AI strategy includes a massive $500 billion joint venture with Oracle and SoftBank, announced in January, to build new AI data centers across the U.S.

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