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
#plasma $XPL @Plasma Gas / Transaction Fees Used to pay fees for transactions and running smart contracts on the Plasma network. Simple stablecoin transfers (like USDT) may be gas-less, but complex operations require XPL. 2. 🔒 Network Security & Staking XPL is essential for securing Plasma’s Proof-of-Stake (PoS) consensus. Validators stake XPL to participate in block production and validation.
#vanar $VANRY @Vanar What Is the VANRY Token? $VANRY is the native utility token of Vanar Chain, a Layer-1 blockchain designed to support fast, low-cost transactions, decentralized applications (dApps), and AI-enabled services. It serves as the gas and operational token on the network.
Gata Taps Walrus to Slash Data Costs and Power Decentralized AI Infrastructure
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
Gata Taps Walrus to Slash Data Costs and Power Decentralized AI Infrastructure
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. $WAL #walrus @WalrusProtocol
Gata Taps Walrus to Slash Data Costs and Power Decentralized AI Infrastructure
By eliminating download fees and enabling onchain data validation, this partnership brings open-source AI closer to economic viability at scale
Decentralized AI just got a boost where it hurts most—costs. Gata, a company focused on building decentralized large model inference, training, and data pipelines, has partnered with Walrus to eliminate one of the biggest hurdles in the space: prohibitively expensive data access.
The integration centers on DataAgent, Gata’s live decentralized data factory. Built to harness idle browser-based compute for AI dataset generation, DataAgent relies on a swarm of contributors frequently pulling large volumes of data. That kind of distributed access has traditionally racked up significant storage and retrieval fees on both centralized cloud and decentralized networks—turning the promise of community-driven AI into a prohibitively expensive experiment.$WAL #walrus @WalrusProtocol
#walrus $WAL @Walrus 🦭/acc WAL’s price saw short-term gains due to a Binance CreatorPad campaign, which boosted volume and pushed price above resistance near ~$0.15. However, that momentum has cooled somewhat, and the campaign’s end could lead to sell pressure as rewards are cashed out
#walrus $WAL @Walrus 🦭/acc Price (recent): ~$0.14 per WAL with modest 24 h moves. All-Time High (ATH): ~$0.8742 (March 2025). Recent low: ~$0.078. WAL has retraced significantly from its ATH but shows some rebound strength from support zones
#walrus $WAL @Walrus 🦭/acc Resistance / breakout levels: ~$0.149–$0.150 was a key recent resistance zone. Momentum indicators: MACD shows some bullish bias, but RSI nearing overbought signals caution short-term. A failure to stay above short-term support (~$0.144) could prompt pullbacks.
#walrus $WAL @Walrus 🦭/acc WAL is still early and volatile: Short-term focus: trading range ~$0.13–$0.15 with volatile reactions to campaigns and exchange activity. Mid-term potential: tied to Sui ecosystem growth and decentralized storage usage. Long-term: diverse forecasts; high uncertainty reflects broad model divergence.
Berikut adalah tiga indikator Analisis Teknikal umum yang digunakan dalam memprediksi harga Dusk:
Trendlines: Ini adalah garis yang digambar pada grafik yang menghubungkan dua atau lebih titik harga. Mereka digunakan untuk mengidentifikasi dan mengonfirmasi tren pasar yang ada, baik naik, turun, atau menyamping.
Relative Strength Index (RSI): RSI mengukur kecepatan dan perubahan pergerakan harga dari aset tertentu. Trader Dusk melihat RSI untuk sinyal beli atau jual potensial atau kemungkinan pembalikan tren.
Moving Averages: Ini menghaluskan data harga dengan membuat harga rata-rata yang selalu diperbarui, membantu mengidentifikasi tren selama periode tertentu. Tren naik di Dusk dapat ditunjukkan dengan harganya berada di atas rata-rata bergeraknya dan sebaliknya.
#dusk $DUSK @Dusk Penggerak bullish: pertumbuhan jaringan, fokus pada keuangan yang diatur, narasi institusional. Tekanan bearish: teknikal yang overbought, volatilitas tinggi, ramalan algoritmik yang campur aduk. Secara fundamental: Dusk Network memiliki ceruk yang jelas dalam infrastruktur blockchain yang patuh, tetapi adopsi dan pelaksanaan pada peta jalan tetap menjadi penentu kunci kinerja harga jangka panjang.
#dusk $DUSK @Dusk What Dusk Network Is: A privacy-focused Layer-1 blockchain designed for regulated finance, real-world asset issuance, and confidential smart contracts. Uses advanced zero-knowledge cryptography and a bespoke consensus model to balance privacy with compliance — appealing for institutional and enterprise use cases
#dusk $DUSK @Dusk Kondisi Jenuh Beli Beberapa analis memperingatkan bahwa indikator RSI dan momentum menunjukkan level jenuh beli, yang secara historis mendahului penarikan kembali. 2) Resistensi Teknis & Volatilitas Harga telah berjuang di level Fibonacci kunci dan gagal untuk bertahan di atas rata-rata bergerak tertentu — sinyal bearish untuk trader jangka pendek
#dusk $DUSK @Dusk Katalis Pengembangan Proyek Jaringan Dusk fokus pada keuangan yang menjaga privasi dan mematuhi peraturan — sebuah ceruk yang menarik minat institusi. Peningkatan mainnet dan kompatibilitas EVM disebut sebagai penggerak permintaan jangka panjang yang potensial. 3) Posisi Strategis Ini memposisikan dirinya sebagai Layer-1 untuk tokenisasi aset yang diatur dan kontrak pintar yang rahasia, yang dapat menarik kasus penggunaan DeFi/RWA
#dusk $DUSK @Dusk Sinyal Bullish 1) Rally & Minat On-chain DUSK telah mengalami pergerakan kuat yang didorong oleh meningkatnya aktivitas jaringan, alamat aktif harian, dan keterlibatan pengguna — metrik yang sering terkait dengan kekuatan harga.
Pecahan teknis di atas zona resistance telah memicu optimisme di antara analis, dengan target mendekati $0.10+ pada beberapa model
#dusk $DUSK @Dusk Harga & Snapshot Pasar Harga saat ini: ~bervariasi dalam sehari (volatil). Menurut , DUSK diperdagangkan sekitar $0.11 (~₨32.38) dengan keuntungan yang kuat baru-baru ini dibandingkan dengan level 7-hari. Kinerja historis menunjukkan DUSK jauh di bawah rekor tertingginya (~$1.09) tetapi meningkat secara signifikan dari level rendah.
Why is Plasma’s price sliding despite a green market?
Why is Plasma’s price sliding despite a green market? Upcoming unlocks, collapsing activity, and a sharp drop in stablecoin TVL weakened XPL’s short-term structure.
What on-chain signals showed XPL’s momentum fading? DEX volume, daily users, and transaction counts fell steadily through November, aligning with a bearish technical setup.
Plasma dropped more than 11% in recent hours, even as the broader market traded green for most of the day.
The decline put Plasma [XPL] alongside Starknet [STRK], which also posted double-digit losses during the same window.
XPL extended its downtrend after the post-launch hype faded. That early rally had been supported by an airdrop worth about 10,000 XPL for initial users.
As price cooled, on-chain activity followed the same path, weakening the token’s momentum.
What’s driving Plasma token down? The first wave of selling stemmed from the upcoming unlock on the 25th of November.
About 88.88 million XPL, valued at $18.13 million, was set to unlock, leaving over 80% of the supply still locked. It was the largest of the roughly $80 million in weekly token unlocks across the sector.#Plasma @Plasma $XPL