Umer264

XPL holders can participate in decisions like protocol upgrades, inflation rate adjustments, reward structures, and network parameters.
This gives holders a say in the chain’s evolution.
5. 📈 Ecosystem Incentives
A portion of XPL tokens is allocated to boost ecosystem growth: developer grants, liquidity mining incentives, partnerships, and integration with DeFi services.
6. 🔥 Economic Design (Fee Burning)
Plasma uses part of its fee model (inspired by EIP-1559) to burn base transaction fees, creating deflationary pressure that can support long-term value alignment.
Total Supply: 10 billion XPL.
Circulating Supply: ~1.8 billion at launch.
Allocation: Ecosystem Growth, Founders/Team, Early Investors, Public Sale — with vesting schedules
@Plasma #plasma $XPL

Maximum Supply: ~2.4 billion $VANRY .
✔ Circulating Supply: Generally reported around 2.0-2.15 billion (varies by platform/data).
Vanar Documentation +1

Allocation (varies by source):
Validator rewards: ~83%
Development: ~13%
Community incentives: ~4
Price: Around $0.0084 – $0.014 per VANRY (varies by date and source).
• Market Cap: ~$18 M – $30 M depending on supply and price data.
Transaction Fees
— Used to pay gas fees on the Vanar Chain, just like ETH on Ethereum.
Staking & Network Security
— Holders can stake VANRY via the chain’s delegated Proof of Stake (DPoS) mechanism, helping secure the network and earn rewards.
Vanar Documentation
Validator Rewards
— Validators receive VANRY as block rewards, and stakers share in these rewards.
Governance Participation (future/ongoing)
— Token holders may get voting rights on network proposals and upgrades.
Ecosystem Utility
— Used within Vanar Chain apps, including AI tools and other decentralized services.
@Vanarchain #vanar $VANRY

Hyperscalers like AWS are extracting 39% operating margins from the $80 billion AI cloud market,” said Oliver, Co-founder at Gata. “This centralized control not only drives up costs but throttles access—stalling AI’s massive economic potential. Our mission is to make AI universally accessible, starting with an open execution infrastructure.”

That mission begins with cutting out unnecessary middlemen. With Walrus now underpinning Gata’s DataAgent platform, developers and contributors gain access to an economically sound, decentralized stack for AI execution. More importantly, it lays the groundwork for decentralized model training and inference at scale—something that, until now, has been more buzzword than reality.

The Bigger Picture
As decentralized infrastructure players continue carving out niches in storage, compute, and execution, the Gata-Walrus partnership is an early glimpse into what a fully open AI ecosystem might look like. Cost-efficient, composable, and auditable from top to bottom.

DataAgent is already live. But this is just the beginning. With Walrus in its corner, Gata is positioning itself not just as a project, but as a protocol-level player in the fight to democratize AI.

Whether the future of artificial intelligence belongs to a few cloud giants or a global network of contributors might just depend on whether partnerships like this one can scale. If they do, expect the definition of “open-source AI” to get a whole lot more literal.$WAL
@Walrus 🦭/acc #walrus

Walrus changes the equation.

Unlike traditional storage layers that penalize data retrieval, Walrus offers no download fees, while delivering performance on par with centralized cloud providers. It’s not just about cost savings—it’s about unlocking scale. By integrating Walrus, Gata removes a core bottleneck that has stalled progress in decentralized AI, allowing anyone to help generate synthetic datasets for training large AI models, without worrying about unpredictable fees.

“The promise of decentralized AI has been hampered by a fundamental economic challenge: data access is prohibitively expensive,” said Rebecca Simmonds, Managing Executive of the Walrus Foundation. “With Walrus, Gata can now build on a data layer that provides both decentralization and affordability.”

From Cost Savings to Compute Transparency
But the partnership isn’t just a cost-saver. It’s a strategic infrastructure play.
$WAL
#walrus @WalrusProtocol

By eliminating download fees and enabling onchain data validation, this partnership brings open-source AI closer to economic viability at scale

Decentralized AI just got a boost where it hurts most—costs. Gata, a company focused on building decentralized large model inference, training, and data pipelines, has partnered with Walrus to eliminate one of the biggest hurdles in the space: prohibitively expensive data access.

The integration centers on DataAgent, Gata’s live decentralized data factory. Built to harness idle browser-based compute for AI dataset generation, DataAgent relies on a swarm of contributors frequently pulling large volumes of data. That kind of distributed access has traditionally racked up significant storage and retrieval fees on both centralized cloud and decentralized networks—turning the promise of community-driven AI into a prohibitively expensive experiment.$WAL
#walrus @WalrusProtocol

Here are three common Technical Analysis indicators used in predicting the prices of Dusk:

Trendlines: These are lines drawn on a chart that connect two or more price points. They’re used to identify and confirm existing market trends, whether upward, downward, or sideways.

Relative Strength Index (RSI): RSI measures the speed and change of price movements of a particular asset. Dusk traders look at the RSI for potential buy or sell signals or the possibility of a trend reversal.

Moving Averages: These smooth out price data by creating a constantly updated average price, helping to identify trends over specific periods. An upward trend in Dusk could be indicated by its price being above its moving average and vice versa.
@Dusk #dusk $DUSK

Dusk Price Prediction 2028
The correction period continues in 2028, with a projected low of $5.10 and an average price of $6.40.

With more stabilization, the highest Dusk price could hit a possible $7.90.

Dusk Price Prediction 2029
Come 2029, we anticipate another vigorous growth phase.

The lowest and average prices will rise dramatically to about $9.80 and $11.20, respectively.

The Dusk highest price might stretch to the levels of $13.50.

Dusk Price Prediction 2030
By 2030, Dusk could be widely adopted, leading to a miraculous price peak.

The lowest price will be about $15.10, while the average could ascend to $17.20.

The highest price prediction goes to as high as $19.80, keeping Dusk as an attractive long-term investment.

Technical Analysis is a method used to predict future prices of a financial asset like Dusk (DUSK), based on an examination of past market data, primarily price and volume.

It’s crucial in making Dusk price predictions because it provides insights into the market sentiments and potential price changes.
@Dusk #dusk $DUSK

Dusk Price Prediction 2025
We anticipate that Dusk will maintain a steady growth in 2025.

We expect the lowest price to be around $3.60, with the average price rising to $4.80.

The highest price, driven by global crypto adoption and increased Dusk network usage, could surge to $6.20.

Dusk Price Prediction 2026
The growth seems to continue in 2026, reaching an impressive high of $12.00.

The lowest price should be around $7.35, while the expected average might be $9.60.

The blockchain and Dapp development will significantly influence these figures.

Dusk Price Prediction 2027
In 2027, we predict a corrective phase, where the prices will be slightly lower.

The year could start with the Dusk price falling to a low of $6.20.

The average price might hover around $7.80, with the highest predicted price being around $9.50.
@Dusk #dusk $DUSK