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 Enterprise AI Brief, Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from Enterprise
Sep 22 HSBC Deploys Promenaut Agent Workflow Platform Sep 22 Samsung Reports Up to 52% Downlink Gain From AI vRAN Sep 22 EMA Plans Webinar on Enterprise AI Governance Gaps Sep 22 IBM Study Finds Gap on Critical Thinking Skills for AI Sep 22 Quartile Adds ChatGPT Advertising to Its PlatformMore from Data Centers
Sep 22 Clivet Debuts Magnetic Levitation Cooling Portfolio for AI Data Centers Sep 22 Huawei Shows AI Energy Systems at IDEE 2026 Sep 22 GMIF 2026 Sets AI Memory and Storage Agenda for Shenzhen Sep 22 Huawei presents grid interactive AI data center solution in Shanghai Sep 22 ITRI Unveils 3.2 Tbps Silicon Photonics Optical EngineSilicon 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
New Constructs Warns AI Compute Spending Is Not Profit
SCX.ai and DDN Partner on Australian Sovereign AI Inference Cloud
Delos Data Raises Over $100 Million for AI Infrastructure
Saturn Cloud Integrates NVIDIA Run:ai for GPU Inference Services
Lancium and NVIDIA Partner on AI Factory Campuses
Daily AI Brief: the AI news that matters, in your inbox.