Case Study
Democratising the Adoption of AI for Startups and Enterprises Using 100% Renewable Energy
As AI adoption accelerates, the demand for power-dense compute services has created a critical need for sustainable infrastructure. This report details IREN's journey in building an "AI Factory" using Dell PowerEdge XE9680 servers and NVIDIA GPUs to democratize access to AI for both startups and enterprises. By balancing performance, cost-efficiency, and a commitment to 100% renewable energy, the partnership has enabled 3x faster performance than previous systems and a rapid time-to-market for eco-friendly AI cloud services.
- Topic
- Emerging Tech
- Published
- 21 Jan 2026
Discover how IREN, Dell, and NVIDIA are reshaping the AI landscape with eco-friendly data centers that deliver 3x the performance.
The race to adopt AI is often a race for power. For startups and enterprises alike, the challenge is twofold: accessing the massive compute required for modern workloads and managing the resulting environmental footprint.
This case study, "Democratizing the Adoption of AI," explores how IREN built a next-generation AI Cloud Service. By utilizing the Dell AI Factory with NVIDIA and a commitment to 100% renewable energy, IREN has created a blueprint for sustainable, high-performance innovation.
Key Highlights:
Sustainable AI at Scale: Delivering high-performance AI cloud services powered by 100% renewable energy to minimize environmental impact.
Performance Breakthrough: Achieving 3x the performance of previous servers by utilizing Dell PowerEdge XE9680 systems.
Democratizing Access: Providing startups and enterprises with affordable access to compute-intensive AI workloads that were previously cost-prohibitive.
The AI Factory Model: Taking a holistic view of data centers as integrated clusters where hardware and software work together seamlessly.
Accelerated Data Transfer: Implementing technology that delivers data transfer rates three times faster than standard industry benchmarks.
Rapid Time-to-Market: Leveraging Dell’s quick delivery and deployment capabilities to expedite the launch of new AI service offerings.
Advanced GPU Integration: Utilizing NVIDIA Tensor Core GPUs to handle the most demanding generative AI and machine learning tasks.
Future-Ready Expansion: Planning for future growth with liquid-cooled technologies like the PowerEdge XE9680L for even higher power density.
Strategic Cost-Efficiency: Balancing massive compute power with a cost structure that allows businesses of all sizes to innovate.