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In the rapidly evolving landscape of technology and finance, a significant shift is occurring that brings both tremendous opportunities and formidable challenges as we scale towards a new economy. From the realm of Bitcoin mining to the emergence of AI powerhouses, the market is undergoing a transformation that demands our attention and understanding.
At the forefront of this change is Wes Cummins, CEO and Chairman of Applied Digital, who joins us at the Structure Research's infra/Structure Summit in Las Vegas. Applied Digital has established itself as a major player in the industry, having constructed over 480 megawatts of capacity, with an additional 400 megawatts currently under construction and an impressive 2 gigawatts in the pipeline.
Applied Digital's approach is encapsulated in their mission statement, which describes their services as being "designed from inception to accommodate the unique needs of AI Factory deployments". This intriguing concept of AI Factories is a key topic of our discussion with Cummins, as we delve into the specifics of this innovative approach to AI infrastructure.
Our conversation explores the evolution of the investment landscape for AI and cryptocurrency data centre infrastructure, examining recent trends and future projections for capital allocation and return on investment in this dynamic sector. We also discuss Applied Digital's recent financial milestone: a US$160 million private placement financing agreement with a group of institutional and accredited investors, including tech giant NVIDIA and Related Companies.
As we navigate through these topics, we address the unique challenges faced in scaling to meet the growing demand for AI-focused data centres, comparing and contrasting these with traditional data centre models. We examine the key differences in power requirements and infrastructure design between Bitcoin mining facilities and the new AI-centric data centres that Applied Digital is constructing.
Finally, we look towards the future, discussing how Applied Digital is positioning itself to capitalise on the convergence of AI, edge computing, and traditional data centre services, as AI applications become increasingly prevalent in edge computing scenarios.
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