decentralized GPU and Vrifiable AI Economy
dAGI needs two things to work in production: a way to turn idle GPU supply into trusted training and inference, and AI agents that can pay, trade, and act with receipts.
verifiable mesh
01
Idle GPU supply is hard to trust
Decentralized AI needs many independent GPU operators, but training and inference buyers need proof that the claimed hardware and runtime actually ran.
02
AI workloads need private execution
Models, prompts, datasets, and inference requests cannot become visible to the host just because compute is distributed across an open network.
03
Agents handle money and policy
Payment and trading agents need wallet access, but users need verifiable limits, revocation, and receipts for every autonomous action.
solution mockup
GPU work and agent actions share one proof path.
The decentralized AI stack needs compute markets and autonomous agents to meet in the same trust model: measured GPU runtime, sealed model execution, policy-bound payment, and signed receipts.
$ agent ask wallet
› |
|
→ delegating to Agent Wallet (x402) …
Agent Wallet
x402 · ERC-8004
payment request · x402
|
to: api.confidential-llm.ai · 1 inference batch
GPU marketplace
Miner-provided GPUs become useful only when proof ships with capacity.
A decentralized AI network can incentivize idle GPU supply, but buyers still need to see hardware, region, TEE readiness, and runtime proof before training or inference starts.
miner-west-07
8x H100
miner-delhi-02
8x H200
miner-east-14
4x H100
miner-ams-11
4x B300
miner-sfo-22
2x H200
miner-paris-03
1x B300
verified
miner quote
verified
TEE runtime
verified
proof paid
use cases from the report
Two places decentralized AI needs confidential compute.
Incentivized GPU training and inference
Use decentralized incentives to bring idle GPU capacity online, then use TEE attestation to prove the selected node ran the right model, image, and runtime.
AI agents with payment and trading
Let agents pay for inference, execute trades, or manage strategy under wallet policy, while each action is bound to a measured runtime and signed receipt.
report
Decentralized GPU and AI Economy
Founder welcome video
16 sec
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