Data-Leaf & AI

​

Challenges in AI Infrastructure ​

• AI workload growth is outpacing traditional utility infrastructure, creating bottlenecks for AI companies. ​

• Traditional data centers take 3-7 years to energize, delaying AI deployment. ​

Data Leaf's Solutions

1. Hyperscale AI Infrastructure:

   • Dedicated AI LLC clusters from 1MW to 20MW. ​

   • Deployment within 270-420 days, compared to 3-7 years for traditional models. ​

   • Distributed, renewable-powered microgrid projects bypass grid challenges. ​

2. Baseload-as-a-Service® (BaaS):

   • Dedicated power supply for AI workloads. ​

   • Consistent power and cooling for peak performance. ​

   • Near-zero power interruptions and minimized energy costs.

3. Competitive Advantages:

   • 30-50% cost savings compared to hyperscale cloud providers. ​

   • No data egress fees or vendor lock-in penalties. ​

   • Modular design for scalability and optimized GPU utilization. ​

4. Technical Specifications:

   • High-performance GPU configurations (H100, A100, next-gen). ​

   • 400Gbps InfiniBand/Ethernet with <2μs latency. ​

   • NVMe all-flash storage with 10GB/s read throughput. ​

   • 99.9% uptime guarantee and rapid deployment (90-180 days). ​

5. Risk Mitigation:

   • Regulatory compliance (SOC 2, ISO 27001, NERC CIP). ​

   • Redundant power systems, geographic diversification, and predictive maintenance. ​

   • Fixed energy costs through renewable energy integration. ​

Market Opportunity

• $5.2 trillion global AI infrastructure market by 2025 (McKinsey report). ​

• Data Leaf offers unique solutions with microgrid-integrated AI infrastructure and proprietary BaaS®. ​

Strategic Positioning

• Leveraging NREL data for optimal site selection near renewable energy sources and AI research hubs. ​

• Modular and scalable design to accommodate evolving AI hardware and workloads. ​

Partnership Opportunities

• Data Leaf seeks strategic partnerships with AI companies to secure dedicated compute capacity through Letters of Intent (LOI). ​

• Offers custom configurations, rapid deployment, and scalable operations. ​

5-Year Vision

• Establish partnerships with 10 leading AI companies. ​

• Deploy 100+ AI clusters nationwide. ​

• Build a distributed hyperscale network to support next-gen AI. ​

Leadership

• Experienced team with expertise in renewable energy, high-performance computing, and large-scale infrastructure projects. ​

Key Benefits

• Faster deployment, cost savings, and optimized performance. ​

• Sustainable and future-proof infrastructure tailored for AI workloads. ​

• Transparent partnership process with detailed technical documentation. ​

Data Leaf positions itself as a leader in AI infrastructure, providing innovative, efficient, and sustainable solutions to meet the growing demands of the AI industry. ​