Grow your own decentralised AI datacentre.
Connect the machine you already own, bring your community, launch a token for the cluster. Its trading fees pay everyone serving it and buy the next GPUs.
AI is owned by the labs and the datacentres.
The labs own the models. The datacentre companies own the machines. If you are neither, you rent both, at their price, on their terms.
OpenAI
Google
Anthropic
NVIDIA
Microsoft
AWS2024-25 estimates put NVIDIA at 80 to 90%+ of datacentre AI accelerators. The point is the shape, not the decimal.
Power and control to the community.
Here is how.
How it works.
Four frames. Scroll to run the film.
Bring your machine. Build your cluster.
Your machine and your community, or a one-click deployable AI machine.
Launch a token. Pair it with NVIDIA.
Pairs with crypto or tokenised stocks. Trading accumulates the pair.
Token fees pay active node providers.
Every request served pays, and every swap pays again.
Fees buy the hardware.
A portion of every fee buys machines hosted and managed by Singularity, and adds them to your cluster. Then the loop runs again, bigger.
Hold the token, pay a third less.
Pay in the cluster token and you pay a third less. Pay in dollars and the extra buys the token back and burns it. Either way, the operator earns exactly the same.
- YOUPay a third less for the same inference.
- OPERATORStill earns the full 0.8.
- OPERATORStill earns the full 0.8.
- TOKEN HOLDERSThe extra 0.5 buys the token and burns it. Buy pressure, less supply.
A $1B market buys its own datacentre.
Fees come from trading volume, and part of every fee is set aside to buy machines.
Illustrative, not a promise. Real volume, fees and hardware prices will differ.
Two tiers, and no overclaiming.
Integrity by economics. Confidentiality by silicon.
- Hardware
- Consumer devices. Macs, desktops, anything with spare cycles.
- Integrity
- Sampled audit re-execution within tolerance, plus stake slashing.
- Confidentiality
- Not claimed. Ever.
- Best for
- Public and non-sensitive workloads.
- Hardware
- TEE GPUs and CPUs. H100/H200 confidential mode, Intel TDX, AMD SEV.
- Integrity
- Enclave attestation of the exact code and model hash.
- Confidentiality
- Hardware enforced. The operator is shut out of the enclave.
- Best for
- Sensitive and regulated workloads.
Every seat at the table can be an agent.
Pay, serve, launch. No queue, no human required.
An agent buys its own inference.
paid per request, no human in the loop
An agent provides the compute.
staked, deployed, earning from every job
An agent creates the market.
one call stands up a cluster and its token
The short answers.
How the money moves, who controls it, and where it runs.
