Antimatter Launches as the World's First Vertically Integrated Neocloud for AI Inference
Combining over 1GW of power capacity secured through grid connection agreements and reserved sites across distributed micro-power sites in the US, Europe and GCC, Antimatter will deploy a global network of 1,000 distributed micro data centers to serve the
Antimatter, a new category of neocloud purpose-built for the distributed AI economy, today announced its launch through the strategic combination of three companies: Datafactory (US-based energy and power infrastructure), Policloud (modular micro data center network), and Hivenet (distributed cloud provider).
The combined entity creates the industry's first fully integrated AI infrastructure platform spanning energy sourcing, physical hardware, and cloud software — designed to serve the explosive global demand for AI inference at a fraction of hyperscale cost and dramatically faster time to market.
Antimatter is deploying capital at an unprecedented pace to build out the first global neocloud network optimized for AI inference. The company is securing €300 million to fund the deployment of its first 100 Policloud units in 2027, representing 40,000 GPUs and over 3.6 exaFLOPS of active compute capacity.
By the end of 2030, the planned network of 1,000 Policlouds will provide more than 400,000 GPUs and over 36 exaFLOPS of distributed AI inference capacity — the equivalent of five traditional hyperscale data centers, deployed across dozens of countries with 50% lower capital spending and significantly faster time to market.
Antimatter is led by David Gurlé, the serial high-tech entrepreneur who founded Microsoft's Real-Time Communications business (today's Microsoft Teams), led Skype's enterprise division and its sale to Microsoft, and founded Symphony Communication Services.
"In the age of AI, intelligence is not the bottleneck — energy is," said David Gurlé, Cofounder, Executive Chairman, and CEO of Antimatter. "The infrastructure built for the first era of cloud and AI was designed around centralized scale. But the inference era requires a different model: more distributed, faster to deploy, and sovereign by design. That is the infrastructure Antimatter is building."
The first wave of AI was about training massive models in centralized data centers. But the next phase — inference — is about running those models billions of times per day, across applications like copilots, agents, and real-time decision systems.
That shift changes everything. Inference requires infrastructure that is closer to users, faster to deploy, more energy-efficient, and geographically distributed. Traditional hyperscalers were not built for this. Their model relies on massive, centralized campuses that can take years to build and require enormous upfront capital.
Antimatter's answer: bring the data center to the energy, not the energy to the data center.
The global data center capacity market is projected to grow from 55GW in 2023 to 220GW by 2030 — a 22% CAGR — yet grid connection queues and infrastructure delays are emerging as the primary bottleneck. In Europe alone, more than 12 TWh of renewable electricity were curtailed in 2023, representing over €4.2 billion in lost value. At the same time, more than 1,000GW of additional renewable capacity remains stuck in permitting and grid-connection queues across Europe and the GCC.
Antimatter is uniquely positioned as the only neocloud that controls the complete value chain:
Energy-first model
More than 1GW of power capacity secured through formal grid connection agreements and site reservations, including over 160MW already operational across Texas and Oregon, USA. Antimatter deploys Policloud units directly at or near existing power assets — including wind, solar, hydro, or biogas sites — converting stranded generation into productive AI infrastructure in a matter of months, rather than waiting years for new transmission capacity.
Decentralized infrastructure layer
A fleet of modular, containerized micro data centers, each housing up to 400 GPUs and deployable in as little as five months, compared with 24+ months for traditional hyperscale builds. Antimatter currently operates 10 units across 8 sites and has a commercial pipeline of more than 500 additional units.
Distributed software layer
A proprietary distributed computing and storage platform providing the orchestration intelligence that connects distributed hardware into a single, sovereign cloud fabric with global default Tier 3 capability — supporting billions of inference requests each day, with sub-10ms latency for edge workloads and full data sovereignty for regulated industries.
