$CORE IS LIVE ON SOLANA CA: TWyqV65vGMFt95SrCAVUKu65Mw2is9GnSNK55Egcyai The moment is finally here - $CORE is officially live & tradable on the @CyreneAI launchpad. Core Compute: where real infrastructure meets on chain economies.

1 HOURS TO LAUNCH. $CORE launches at 4PM UTC today on @CyreneAI The GPU DATA-CRNTRE economy is about to go live.

@Core_Compute | Launch Stream hosted by @TonyCatoff x.com/i/broadcasts/1rGmqoXoO…

4 HOURS TO LAUNCH. $CORE launches at 4PM UTC today on @CyreneAI The GPU DATA-CRNTRE economy is about to go live. Core Compute connects real infrastructure with on-chain networks — turning compute power into a global digital asset. A new compute layer begins.

4-Year Global Expansion Roadmap 🌍 Year 1 • New GPU data centers in Southeast Asia & Europe • Utilization scaled 75% → 99% • Renewable energy 60% → 80% • Strategic partnerships with NVIDIA & Oracle Year 2 • Expansion into North America, Nordics & South America • Larger AI training workloads supported • Stronger enterprise AI partnerships Year 3 • New regions: Middle East & South Asia • Massive GPU cluster scaling for AI training Year 4 • 100 global data centers • 50,000 GPUs worldwide • 145B TOP-hours annual capacity • $82M projected annual revenue The future of AI compute is being built.

Raising $100K in Our Presale Round on @CyreneAI , At a $4M Valuation.

24 hours left to launch on @CyreneAI. Tomorrow at 4PM UTC, the future of GPU data centre goes live. $CORE powers the Core Compute network where real infrastructure meets on chain economies. GPU power connects. Compute becomes liquid. A new network begins. This is not speculation. This is infrastructure.

Strategic Partnership @Core_Compute 🤝 @GXChainGlobal REI Network is building a lightweight, high-performance, and zero-fee blockchain infrastructure, while Core Compute is developing the next generation of global AI compute infrastructure. Through this partnership, REI Network will support the expansion of Core Compute’s decentralized compute ecosystem, enabling scalable infrastructure that powers AI workloads, decentralized applications, and Web3 innovation. Together, we are strengthening the foundation for a faster, more efficient, and scalable decentralized future.

Why does $CORE have real value? Because it powers real AI infrastructure. Core Compute is building physical GPU data centers and sharing real infrastructure revenue with the community. Launching on @CyreneAI on 11/03/2026 at 4:00 PM UTC. $CORE is used for: • Accessing discounted AI compute • 30% monthly data center revenue distribution to holders • Staking tiers (Silver / Gold / Institutional) • Priority compute allocation during peak demand • 20% compute discount when paying with $CORE • Revenue-yield staking model • 10% profit buyback & burn • Infrastructure network participation Today the network already runs: • 500 GPUs • 1 operational data center (Kazakhstan) • 75% utilization rate • 100 paying clients • 20 AI startups training models Generating: • 120.45M TOP-hours per month • 1.45B TOP-hours per year • $68K monthly revenue • $821K annual revenue AI needs compute. Compute needs infrastructure. $CORE powers that infrastructure.

@Core_Compute | Showcase Stream hosted by @TonyCatoff x.com/i/broadcasts/1RKZzjweZ…

Revenue at Scale Projection If one site at 75% utilization = $821K revenue 100 sites → $82M annual revenue potential Even at lower utilization, scale impact becomes exponential. Infrastructure compounds. Token demand compounds.

Expansion Plan: 100 data centers Timeline: 2–4 years 1 site = 500 GPUs 100 sites = 50,000 GPUs Now compute this: 50,000 GPUs → 145 Billion TOP-hours yearly output That is sovereign-scale compute infrastructure.

Strategic Partnership @Core_Compute 🤝 @TheImperiumLabs ImperiumLabs is backing the next generation of decentralized infrastructure, and Core Compute is building it. Through this partnership, ImperiumLabs will support the expansion of Core Compute’s global GPU infrastructure as we scale from 500 GPUs to 50,000 GPUs across 100 future data centers powering the next era of AI and Web3 innovation.

Sustainability Metrics: 60% renewable energy mix (solar grid) Optimized cooling systems Energy provider partnerships Future integration potential: • Carbon credit tokenization • ESG-aligned staking models • Institutional green capital alignment AI infrastructure without environmental neglect

Asset Position: Physical Infrastructure Value: $2,000,000 Annual Revenue (75% utilization): $821,250 Land hardware backed Operational facility in Kazakhstan Certifications & Standards Alignment: • ISO/IEC 27001 • ISO/IEC 42001 • SOC 2 • Uptime Institute Tier Standards • Energy audits & compliance This is infrastructure-grade positioning.

Staking Mechanics: Silver Tier → Base discount Gold Tier → Higher discount revenue boost Institutional Tier → Priority allocation during peak demand Stake → reduce circulating supply Lock → earn server rental yield Hold → benefit from buyback pressure AI companies staking for cheaper compute Investors staking for revenue Two-sided demand engine.

$CORE Supply Model: Fixed Supply: 1,000,000,000 Chain: Solana Utility Stack: • Revenue share (30%) • 10% profit buyback • Staking tiers • Compute discounts • Enterprise priority access Every growth layer increases token sink.

Revenue Mechanics (Current Site) At 75% utilization: Estimated Annual Revenue: $821,250 Operational Cost: $646,400 Gross Operating Margin: $174,850 Now layer token mechanics: • 30% of monthly revenue → $CORE holders • 10% of profits → Buyback & Burn • 20% compute discount when paying in $CORE This creates structural token demand from AI companies. Usage demand.

Current Deployment Breakdown: • 70% RTX 5050 • 10% RTX 5060 • 10% RTX 4070 • 10% NVIDIA H100 Total: 500 GPUs Focused on AI model training workloads. Total setup cost (high-end build): $2,000,000 USD Annual operating cost: $646,400 USD Physical hardware. Operational site. Revenue live. This is Real World Asset infrastructure.

Let’s quantify real compute power. 500 GPUs Monthly Output (730 hrs): 120.45 Million TOP-hours Yearly Output (8,760 hrs): 1.45 Billion TOP-hours At 75% utilization: 1.08 Billion effective TOP-hours annually $821,250 estimated annual revenue $68,400 monthly revenue This is AI training capacity already monetized.