#USA #AI Infrastructure #Campbell #Mirantis #Neoclouds

Mirantis Collaborates with Neocloud Providers to Advance AI Infrastructure

In a significant move within the cloud-native infrastructure realm, Mirantis has announced its partnership with a new breed of AI infrastructure providers known as "neoclouds." This initiative aims to construct and operate advanced AI factories, which are pivotal in enabling the next evolution of artificial intelligence at a scale that has been previously unattainable. According to financial forecasts, investment in AI infrastructure could soar to an astonishing $100 trillion by the year 2040, prompting some skeptics to wonder if such monumental growth is indeed sustainable.

The Emergence of Neocloud Providers

Neocloud providers are characterized by their focus on securing energy resources, developing computational capacity, and offering intelligence services with premium margins. As Alex Freedland, the co-founder and CEO of Mirantis, states, two primary sectors are currently fueling this surging demand for infrastructure: consumer AI applications like ChatGPT and productivity tools designed for business efficiency. The resulting growth in accelerated computing demand is staggering, seeing an astonishing 50-fold year-over-year increase.

Freedland emphasizes that the adoption rates for these AI tools significantly outperform those seen during earlier technology revolutions, such as mobile and cloud computing. The returns on investment are becoming tangible, turning previously time-consuming tasks that took weeks into endeavors completed within days.

Addressing Infrastructure Challenges

Freedland also highlights two unique factors that differentiate AI's rise from past technological advancements: energy constraints and sovereignty requirements. Neocloud providers have invested years in acquiring real estate, negotiating grid infrastructure, and securing power contracts that are essential for their operations.

"Companies that control energy and understand how to convert it efficiently into intelligence will hold the competitive edge," Freedland asserts. The sovereignty aspect is crucial as well—various countries and industries are recognizing the strategic importance of AI, necessitating that capabilities remain within local control.

A Different Market Approach

The unique insights gleaned through partnerships with neocloud providers reveal that these companies are approaching the AI market very differently compared to traditional cloud service providers. Freedland explains that their strategy starts with energy access, which then leads to the establishment of computational infrastructure before branching into intelligence services. The economic viability improves significantly as companies ascend this value chain.

For instance, selling basic GPU infrastructure may yield $1 billion annually per 100 megawatts of power. However, optimized compute services can escalate that to $1.5 billion, and offering packaged AI services further elevates potential revenues to approximately $4 billion from the same energy allocation.

Sustainable Growth for the Future

This multifaceted value chain gives Freedland confidence that the investment in AI infrastructure is indeed sustainable. Unlike mere construction projects hoping to lease space, companies investing in neocloud environments are building vertically integrated platforms that harness value across several layers, bolstering their economic foundations as they grow.

Freedland's experiences also suggest strategic recommendations for enterprises looking to harness AI effectively. He predicts that hybrid consumption models will soon become the norm in AI services. Energy constraints and sovereignty will empower businesses to source AI from diverse avenues—turning to hyperscalers for basic intelligence and neoclouds for specialized services, all while tapping into local providers for critical applications.

The Future of AI Development

As Freedland wraps up his insights, he contextualizes concerns about the sustainability of the current infrastructure buildout, urging observers to compare it not to the dot-com bubble, but rather to the increasing demand for AI capabilities across various industries. "We are already witnessing capacity constraints, marking a significant departure from historical parallels. Each new application drives infrastructure demands further, and I question whether current projections regarding AI growth are sufficient,” he concludes.

About Mirantis

Mirantis is at the forefront of supporting organizations in constructing and managing scalable infrastructure and applications. By collaborating with major industry players and emerging infrastructure providers globally, Mirantis specializes in Kubernetes, container technologies, and AI infrastructure orchestration. The company's mission focuses on empowering businesses to modernize operations and expedite application development by leveraging groundbreaking technologies like AI factories and edge computing.