Mirantis Partners with Neocloud Providers to Build AI Infrastructure
Mirantis announced it is collaborating with a new class of AI infrastructure providers, known as "neoclouds," to build and operate large-scale AI data centers or "AI factories" designed for intelligence production, announced in a press release. The company said these partnerships aim to address accelerating compute demand driven by consumer AI tools and enterprise productivity applications.
According to CEO Alex Freedland, neocloud providers differ from traditional cloud operators by focusing on energy acquisition, computational infrastructure, and the sale of AI services. Freedland noted that these companies are vertically integrating their operations, moving from raw GPU infrastructure to orchestrated compute and intelligence services, improving economics at each stage.
Freedland highlighted two main challenges defining this new market: energy constraints and sovereignty. Neoclouds are securing power contracts and grid access to ensure scalable energy supply, while sovereignty requirements are driving local control over AI infrastructure and data. These factors are expected to lead to hybrid consumption models combining hyperscalers, neoclouds, and sovereign providers.
Mirantis stated that the growth of AI applications continues to strain existing capacity, with demand increasing fiftyfold year over year. Freedland added that, despite concerns about overbuilding, the company sees strong economic justification for continued AI infrastructure expansion.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Silicon Brief, Enterprise AI Brief or Daily AI Brief.
Also, consider following us on social media:
More from Data Centers
Oct 16 EverWind Plans 420 Megawatt AI Data Centre in Nova Scotia Oct 16 Gartner Says $3.5 Trillion in AI Infrastructure Spending Faces Impairment Risk by 2030 Oct 16 KBRA Rated Anthropic BB+ Before $35 Billion Chip Financing Oct 16 China Proposes Export Controls for Advanced AI Models and Chips Oct 16 Hitachi Energy and Ansaldo Energia Partner on Data Center Power SystemsMore from Enterprise
Oct 16 Nextech3D.ai Adds Agentic AI to Map D Event Platform Oct 16 McGraw Hill Adds AI Study Tools to Connect Oct 16 RapidCanvas Raises $29 Million to Expand Enterprise AI Platform Oct 16 Goodweek Raises $12 Million for AI Management Platform Oct 16 ALTOUR Unveils AI Platform for Corporate Travel DecisionsSilicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Data Center Infrastructure Market Reaches $14 Billion as AI Demand Grows
PhoenixAI Joins Cloudera as Foundational Database Partner
KONST Raises $30 Million for AI Data Centers in Asia
Saturn Cloud Integrates NVIDIA Run:ai for GPU Inference Services
Rising rates strain AI data center fundraising
Daily AI Brief: the AI news that matters, in your inbox.