15 hours every day. 6 years of building. $100M+ in compute. It’s a story of grit, growth, and purpose. This is the @SpheronFDN Journey. The $SPON flywheel begins today at 09:00 AM GMT.

Scotland now hosts 16 data centers, consuming enough tap water each year to fill 27 million bottles, a figure that has quadrupled in just four years. Centralized infrastructure isn’t just costly, it’s resource-intensive. At Spheron, we’re building a more sustainable path

The virtualization tax is real, and it’s exactly what @spheronai was built to eliminate. Spheron AI delivers bare-metal GPU performance, giving AI teams full hardware access, zero overhead, and up to 90% cost savings.

LazAI × Spheron Network 🤝 We’re partnering with @spheron to make verifiable AI more accessible through decentralized compute. Spheron is building the world’s largest community-powered data center, giving developers affordable access to GPU power, up to 4x cheaper than

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When centralized clouds go dark, Spheron stays online. Because resilience isn’t about redundancy, it’s about ownership. The future of AI compute belongs not to a corporation, but to the community. Want to be part of the movement? Help us build the world’s largest

Every AWS outage proves the same thing. Consolidation breeds collapse. When the world runs on a few data centers, a single failure cascades across the entire internet. We need a new foundation: diverse, distributed, and unstoppable That’s what Spheron is building ,a

📉 Major AWS outages (2025): • Feb: EU-North-1 (Stockholm) network failure • Apr: Tokyo region connectivity issue (Binance affected) • Jun: Multi-cloud internet-wide outage (AWS among those impacted) • Oct: US-East-1 global outage (Alexa, Fortnite, Snapchat offline)

AWS went down 4 times in 2025, taking major parts of the internet offline, from crypto exchanges to AI platforms. What was once “efficiency” has become fragility. The future of AI depends not on raw GPU power but on resilience.👇

China’s goal to dominate global AI by 2030 underscores a new reality, national competitiveness now depends on access to compute. Advanced chips and GPU infrastructure have become the foundation of progress across research, defense, and technology. And Spheron is building the

Energized to partner with @spheron 🤝 Spheron Network is building a massive community-powered data center, unlocking affordable and scalable compute for everyone. Metis and @LazAINetwork tap into this to strengthen their AI infrastructure layers, powering decentralized

Looking to run an @inference_net Node? We’ve got the fastest way for you to start contributing with your choice of GPUs and start earning $INT for powering real AI inference tasks. With https://t.co/f83sKO4jOO, you can deploy and connect your Inference node in minutes. No

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Why This Design Is Brilliant As more providers join: → Competition for Tier 1 status intensifies → Average network quality improves → Users get better service at lower cost → More users attract more providers → Poor performers naturally exit or improve → Cycle repeats All

For GPU providers, Spheron uses a weighted uptime formula: Total Uptime = (GPU Challenge Success Rate × 0.8) + (CPU Challenge Success Rate × 0.2) Why the 80/20 split? GPU availability is what users actually pay for. CPU is necessary but secondary for compute-intensive workloads.

Tier 2-6 providers create a graduated quality ladder: Each tier has specific requirements that get progressively easier, allowing providers to find their natural performance level. A provider with H100 GPUs at Tier 6 earns LESS than a provider with RTX 4090 at Tier 1. Hardware

To reach Tier 1, you need: ✅ >99% uptime (that's 14 minutes max downtime per day) ✅ Pass random Proof of Compute challenges 24/7 ✅ Maintain performance for 30 consecutive ERAs ✅ Never drop below 85% (instant slashing) Rewards: • 2.0x multiplier on ALL liveness points •

Spheron categorizes EVERY provider node into performance tiers based on verifiable, on-chain uptime metrics. This isn't self-reported; it's challenged and verified every 24 hours by Slark nodes using Proof of Compute. Each tier carries different reward multipliers, creating

Decentralized GPU networks face a clear challenge — trust in trustless systems. They operate within a fundamental paradox: • Users demand enterprise-grade reliability • Providers range from AWS-level data centers to home gaming PCs • There’s no built-in way to separate

While AI companies burn billions on centralized GPU costs, @spheron quietly built the most sophisticated decentralized compute tiering system in Web3. Read below to know more that @spheron isn't just another DePIN project; it's a complete reimagining of how distributed

Imagine building the future of human-aligned AI, but doing it with infra that’s censorship-resistant, cost-effective, and permissionless. That’s why @repponetwork is teaming up with @spheron Network. Reppo is turning Human-AI collaborations into a new economic and data layer