Prashant Maurya

Spheron AI Black Friday is LIVE. From 25th to 30th November, new users get access to enterprise GPUs at prices that shouldn’t exist. 🔼4090 at $0.52/hr 🔼A100 (80GB) at $0.65/hr 🔼H100 at $1.2/hr 🔼B200 at $1.04/hr And more. No waitlists. No commitments. Just raw compute. Sign up, load credits, start training. https://www.spheron.ai/ Only for new users. Limited time. Limited quantity. Comment “GPU” to get your offer.

Big update for the AI builders: Massed Compute GPUs are live on @spheron We’ve teamed up to deliver enterprise-grade NVIDIA clusters to anyone building AI, globally, at scale, and at the lowest prices we've ever offered. From A100s to H100s to L40S, your compute just got way more powerful and way more affordable.

Spheron DAO is live, exactly as we promised. You can now vote on active proposals, influence decisions, and help guide the future of decentralized compute. This marks a major leap toward community-led governance and transparent decision-making. Where your votes and ideas directly shape the network’s future. Here’s what you actually get: • Discuss real stuff (grants, upgrades, partnerships, etc.) on Discord • Check all the listed proposals on Snapshot • Propose ideas, see them live in days, not months • Full transparency: every vote, every discussion, and every suggestion You can now explore and vote on live proposals here: https://snapshot.box/#/s:spheronnetwork.eth For all governance chats, proposal feedback, and discussions, hop into our Discord 👇 https://discord.gg/spheron-network-745315423783878757

New Partner Drop Welcome GXChainGlobal, builders of REI Network, the zero-fee, high-performance chain, to the @spheron ecosystem! They’re building: Gas-free, modular Web3 for DeFi, GameFi & AI We’re powering them with: 🟢 Decentralized GPU compute 🟢 Scalable AI + inference infra 🟢 Permissionless performance for builders

Tired of waiting forever for GPU access or dealing with clunky sign-ups and API hassles? Spheron just fixed that. We're integrating x402 to unlock instant, decentralized GPU and compute access. Pay with stablecoins, skip wallets and dashboards, and spin up resources in seconds. Perfect for AI agents and users alike, fully automated. This isn’t an announcement. Its activation. The future of on-chain compute upgrade is coming soon.

Imagine building the future of human-aligned AI, but doing it with infra that’s censorship-resistant, cost-effective, and permissionless. That’s why Reppo is teaming up with @spheron Network. Reppo is turning Human-AI collaborations into a new economic and data layer for AI safety. Their vision aligns with ours: empowering builders with unstoppable compute. The future of AI x Community just leveled up.

AI shouldn’t be locked inside corporate servers. LazAI believes in personalized, decentralized AI, owned and powered by its users. By integrating @spheron decentralized GPU infra, they’re bringing this vision to life, making high-performance AI compute open, scalable, and trustless. This isn’t just infra, it’s a movement for AI sovereignty.

Imagine a Web3 ecosystem where builders can deploy AI-powered dApps with infinite scalability and zero cloud dependency. That’s what @metisl2 and @spheron are creating. Metis brings the multi-network ecosystem, and Spheron provides the GPU backbone, enabling real decentralized compute for AI, DePIN, and DeFi. Two networks. One mission. To power the decentralized future.

Spheron Governance Update SP-1 our first-ever governance proposal has officially passed and executed on @base.base.eth. 🔗 Tx Hash: 0x1ba0b09a4111a9943c9840972b7df13a924f6846a46a9e7ab44c3b3a62be983f What began as a simple burn proposal evolved through open debate, data, and community input into something far more balanced. The community took a 0.625% burn idea and transformed it into a long-term growth and sustainability framework, rewarding contributors, liquidity providers, and network validators, not just through short-term supply reduction. Here’s what the final execution looks like 👇 Final Allocation: • Burn: 70% → 0.40625% of total supply permanently removed • Staker Incentives: 20% → 0.125% (APY boosted 35.31% → 52.46%) • LP Incentives: 10% → 0.0625% for Aerodrome SPON/WETH LPs • Node Reserve: 0.03125% for S2 claim bonuses Massive respect to everyone who voted, debated, and iterated with us.🫡 Governance is no longer a theory. Spheron DAO is live.

The backbone of decentralized compute just got easier to access. $SPON is now live on the @base.base.eth app. Buy, trade, and use $SPON directly on Base. Check it out here 👇

Alpha shouldn’t be locked behind institutions. xFractal is giving traders Solana-native intelligence, real-time sentiment, predictive analytics, and execution powered by AI agents. Now with @spheron decentralized GPUs, they can scale faster, cheaper, and borderless. Smarter markets. Faster moves. More alpha.

Meet Team Spheron in Singapore 🇸🇬 We’re heading to TOKEN 2049 from October 1 to 2! Let’s connect and talk about the future of decentralized compute, how $SPON is powering the next wave of AI + Web3, and why builders worldwide are choosing Spheron.

New partnership drop: GAEA x @SpheronFDN GAEA is building a decentralized AI-powered universe where 500K+ users co-create, share data, and innovate on-chain. Spheron Network is powering its growth with: 🟢 Decentralized GPU compute 🟢 Global, censorship-resistant infra 🟢 Scalable AI-native deployments

The leading provider of crypto market intelligence, Messari, has published a comprehensively crafted report on Spheron Network. Some of the most interesting insights include: + Our rapidly growing ecosystem and 100+ strategic partnerships! + $12M+ ARR with real revenue before token launch. + How Spheron powers decentralized AI, compute, and AI agents with Provider + Fizz Nodes. Dive deeper into our background, journey, technology, SPON tokenomics, ecosystem, strategic initiatives, and roadmap in the full Messari report ⤵️ https://messari.io/report/understanding-spheron-a-comprehensive-overview

We’re excited to welcome Omniminds to the @spheron ecosystem. Omniminds is pioneering AI agents that use a computer like humans, trained through real-time demonstrations and built for the agentic economy. Now they are scaling on Spheron’s decentralized GPU network for faster, cheaper, censorship-resistant compute.

Infra collab you didn’t see coming: @spheron x AITECH Imagine an economy where AI agents trade, manage treasuries, and optimize supply chains, all on their own. That’s the future AITECH is shaping with AITECH V2. And now, they’re teaming up with @spheron to power this vision with decentralized GPU compute, censorship-resistant, scalable, and AI-native infra.

Data without AI = noise. AI without GPUs = dead. Solution? bitsCrunch + @spheron bitsCrunch is an AI-powered Web3 analytics platform that transforms raw blockchain data into predictive insights for tokens, NFTs, wallets, and DeFi, helping builders, investors, and platforms make smarter, real-time decisions. Now, they’re scaling with @SpheronFDN’s decentralized GPU Network, unlocking faster, cheaper, and more resilient AI-native automation. ✅ Up to 80-90% infra savings ✅ 0% vendor lock-in ✅ 100% AI-native infra ✅ Global coverage

Web3 is powerful, but complex. Pilot AI is fixing this with AI agents that turn natural language into crypto actions: "Send 0.1 ETH to Jack" → done. "How much SOL do I have left?" → answered instantly. By partnering with @spheron, Pilot will now run on decentralized GPU infra, unlocking reliable, scalable, and low-cost compute to bring AI-native crypto UX to the world.

Here’s a recap of Spheron’s traction since the Fizz Node launch 👇 And now we have: ↳ $15.3M+ ARR ↳ 44K+ Fizz Nodes ↳ 8.4K+ GPUs + 602K+ CPUs ↳ 200K+ Deployments & 208K+ Users ↳ 319K+ Global Community ↳ 100+ Partnerships ↳ Strategic Round backed by top investors, And the momentum is only accelerating, powered by $SPON, built for the future of compute.

Ever tried running Stable Diffusion on your laptop? Fans spinning, battery crying, and you still get potato outputs. On Spheron, you deploy Ultra Realistic Stable Diffusion Web UI on a decentralized GPU in < 60s. Here’s the tutorial👇