CANNES, FRANCE — April 21, 2026
Antimatter launches
as the world's first vertically integrated neocloud for AI inference.
Combining 1 GW+ of secured power capacity across distributed micro-power sites in the US, Europe, and the GCC, Antimatter is building a global network targeting 1,000 distributed micro data centers by 2030 — designed to serve the AI inference market 5× faster and 50% cheaper than hyperscalers.
CANNES, FRANCE — April 21, 2026 — Antimatter, a new category of neocloud purpose-built for the distributed AI economy, today announced its launch through the strategic combination of three companies: Data Factory (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 enters the market with 10 Policlouds already operating across 8 sites, 3,400 GPUs in the field, and 26+ MW operational on launch day — backed by 1 GW+ of power already secured under contract and pipeline across the US, Europe, and the GCC.
The company is deploying capital at an unprecedented pace to build out the first global neocloud network optimized for AI inference. By 2027, Antimatter plans to operate 100 Policloud units across 20+ sites — 30,000+ GPUs and 160+ MW operational. By 2030, the planned network of 1,000 Policlouds will provide more than 300,000 GPUs and over 36 exaFLOPS of distributed AI inference capacity — the equivalent of five traditional hyperscale data centers¹, deployed across dozens of countries with 50% lower capital spending and significantly faster time to market. By 2030, the full 1 GW+ power book will be fully operational.
"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 for 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."
Why AI inference is breaking the cloud model.
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 55 GW in 2023 to 220 GW 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 1,000 GW of additional renewable capacity remains stuck in permitting and grid-connection queues across Europe and the GCC.
A full-stack neocloud built for the AI inference era.
Antimatter is uniquely positioned as the only neocloud that controls the complete value chain:
Energy-first model — Data Factory
More than 1 GW+ of secured power capacity, including 26+ MW already operational across Texas and Oregon. Antimatter deploys Policloud units directly at or near existing power assets — wind, solar, hydro, biogas — converting stranded generation into productive AI infrastructure in months, not years.
Decentralized infrastructure — Policloud
A fleet of modular, containerized micro data centers, each housing up to 400 GPUs, deployable in as little as 5 months vs. 24+ months for traditional hyperscale. Antimatter operates 10 units across 8 sites on launch day and has a commercial pipeline of more than 500 additional units.
Distributed software — Hivenet
Proprietary distributed computing and storage platform. Orchestrates distributed hardware into a single sovereign cloud fabric with global default Tier 3 capability — supporting billions of inference requests each day, with sub-10 ms latency for edge workloads and full data sovereignty for regulated industries. 500,000+ users worldwide.
Key competitive advantages.
Strong commercial traction.
Antimatter enters the market as a cash-flow positive entity with demonstrated commercial momentum.
- $20 million in current annual revenue
- $4 million in EBIT
- 10 Policlouds operating on launch day · 3,400 GPUs in the field
- 100 Policlouds by 2027, representing 30,000+ GPUs
- 1,000 Policlouds by 2030, representing 300,000+ GPUs · 1 GW+ fully operational
- Diversified customer base: Energy sector (35%), Public sector (30%), Agriculture (15%), Corporates (20%)
Agriculture represents large-scale on-site renewable power partnerships.
The company is targeting $250M+ in revenue within the next 18 months and $2.5B+ by the end of 2030.
Investor perspectives.
"AI infrastructure is now a strategic asset class, and the winners will be those who can combine hard assets with software at scale. Antimatter's vertically integrated model — from megawatts to APIs — is exactly the kind of infrastructure we believe can define the next decade of digital growth."
— Alex Manson, CEO of SC Ventures, Standard Chartered Bank
"France and Europe need sovereign, energy-efficient infrastructure to compete in AI. What convinced us about Antimatter is not just the technology, but the ability to deploy micro data centers in months, on existing power assets, while meeting the most demanding regulatory constraints."
— Stéphanie Hospital, Founder and CEO of OneRagtime
"From Dubai, we see first-hand how emerging markets are skipping legacy infrastructure and going straight to AI-native architectures. Antimatter's model — distributed, capital-efficient and deeply integrated with energy — is built for exactly these markets, and for the next generation of AI companies we back."
— Noor Sweid, Founder and Managing Partner, Global Ventures
"At Inria, we work every day at the frontier of AI and high-performance computing. Antimatter's approach is compelling because it reconciles cutting-edge AI workloads with more frugal, sustainable infrastructure — distributed, software-defined, and close to available energy. It is a strong illustration of the deeptech industrial story we want to see emerge in Europe."
— Bruno Sportisse, Chairman and CEO of Inria
About the founder.
David Gurlé is a French entrepreneur, engineer, and Chevalier of the Légion d'Honneur. He has founded seven companies, including Symphony Communication Services, which he scaled to a $1.8 billion valuation, with backing from JPMorgan, Goldman Sachs, Deutsche Bank, Citadel, and other leading financial institutions.
Before his entrepreneurial ventures, David held senior leadership roles at Microsoft — where he founded the Real-Time Communications business (today's Microsoft Teams) and served as a direct advisor to Bill Gates — Thomson Reuters, and Skype (VP & General Manager, Enterprise). He holds an MSc in Computer Science and Telecommunications from EFREI Paris.
About Antimatter.
Antimatter is the distributed neocloud for AI inference. By vertically integrating energy, modular infrastructure, and orchestration software, Antimatter deploys enterprise-grade AI compute infrastructure faster, cheaper, and more sustainably than traditional hyperscale providers. Headquartered in Cannes, France, with operating infrastructure across the US, Europe, and the GCC, Antimatter serves enterprises, governments, and AI companies worldwide.
Press contact.
For media inquiries:
Response within 48 hours at press@antimatter.com. Interviews with David Gurlé and the leadership team available on request for qualified media.
Forward-looking statements
This press release contains forward-looking statements regarding Antimatter's deployment plans, financial targets, and market projections. Actual results may differ due to factors including but not limited to capital availability, regulatory conditions, supply chain timing, and market demand.
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¹ "Five hyperscale data centers" comparison based on average AI inference compute capacity of a 100 MW hyperscale facility (~7 exaFLOPS), 2025 industry benchmarks.
