How Antimatter works. Integrated with power at the source.
We pair flexible energy assets with modular data centers and distributed cloud software, so energy, compute, and services behave as one coordinated platform.
Already operating · 2026
0
Policlouds
0
Sites
0
GPUs
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+ MW
Operational
Secured today
1 GW+
of power under contract and pipeline — ready to activate.
Behind the 26 MW running on day one sits a GW-scale power book already under contract across the US, Europe, and the GCC — the basis for the 2030 build-out.
Two ideas. One architecture.
.01 Distributed computing
Compute does not have to live in a handful of hyperscale campuses.
It can be spread across many smaller sites and coordinated as one system — closer to users, closer to data, and closer to the power it consumes.
.02 Flexible power
Infrastructure should follow energy.
Wherever power is already available, underutilized, or renewable — instead of waiting years for new grid interconnects and greenfield builds.
Together, those ideas shape the Antimatter architecture.
AI infrastructure is no longer only a data center problem. It is an energy problem, a deployment problem, a coordination problem, and increasingly a service-delivery problem. Antimatter addresses all four together.
How the system runs.
Five steps from energy to delivered service.
.01
We deploy where power already exists.
Capacity is positioned at sites with available energy — renewable, underutilized, or stranded — so we can bring compute online in months, not years.
.02
We build compute in modules.
Policloud units deliver high-density AI compute in standardized, containerized form factors. No multi-year hyperscale builds.
.03
We connect every site.
Sites are linked into a single operating fabric. Hivenet software treats distributed capacity as one logical cloud, not a portfolio of disconnected locations.
.04
We run real cloud services.
Compute, storage, and file transfer — delivered through APIs the same way any cloud delivers them — but across distributed, sovereign infrastructure.
.05
We adapt in real time.
Workloads follow demand, capacity, price, and local constraints, rebalancing automatically.
Supply and demand, engineered apart.
Antimatter is built on a clean separation between physical infrastructure and customer-facing services.
Supply side
Managed at the hardware layer.
Node health, GPU allocation, storage provisioning, and site-level operations. Physical infrastructure, built to deliver predictable capacity.
Demand side
Managed at the software layer.
Customer APIs, workload orchestration, billing, SLAs, service delivery. Software surface that evolves independently of any one site.
The two layers evolve independently. New sites plug into the same API. New services reach every site.
Who Antimatter serves.
Four customer layers, one integrated platform.
Consumers
Private cloud, by Hivenet.
Storage, sharing, and transfer — delivered by Hivenet (Store, Send) to more than 500,000 users worldwide.
Developers
On-demand GPU and CPU.
Hivenet Compute. No lock-in, no hyperscale minimums. Spin up capacity when you need it.
Enterprises
Managed AI infrastructure.
Deployment, monitoring, and optimization — without the overhead of building your own cluster.
Governments & sovereign operators
Dedicated Policloud capacity.
SLA-backed, deployed in jurisdiction, aligned with local energy policy. Sovereign by design.
Already running in the field.
Antimatter is shaped by real deployments, not theoretical models.
Public institutions
Cities and regional governments — City of Cannes, Département des Alpes-Maritimes, Département de la Côte d'Or — running local compute and sovereign data workloads on Policloud.
Research and education
Distributed cloud and AI workloads with Inria, DSTI School of Engineering, and the University of Arizona.
Compute and infrastructure demand
Enterprise and marketplace customers including Vast.ai, Aethir, and ChainTrust. Hivenet products already serve more than 500,000 users worldwide.
The technology foundation.
Antimatter is built on production-grade hardware and proven distributed systems technology.
Inside the stack
Hardware partners
AMD and Seagate.
AMD for high-density CPU and GPU compute. Seagate for enterprise storage. Long-term supply agreements with both, structured to insulate the platform from hardware supply shocks.
Inside the stack
Distributed systems by design.
Kubernetes-based orchestration, virtual machine and bare-metal support, distributed block storage, encrypted overlay networking, GPU passthrough, and centralized observability across clusters.
This is not architecture by slide. It is infrastructure by deployment.
What the model enables.
~5×
Lower CAPEX per loaded MW
~$7M vs. ~$35M for hyperscale.
~5 mo
Site selection to production
vs. 24+ months for hyperscale builds.
~50%
Lower customer pricing
with better cost predictability.
<10 ms
Edge latency
on distributed workloads.
~70%
Lower carbon footprint
Zero water cooling.
Sovereign by design
Data stays in jurisdiction.
