Overview
Why APUS?
APUS Network provides trustworthy, on-chain verifiable AI inference by combiningdeterministic execution, confidential GPU compute, and cryptographic proofs.
Every inference request generates auditable on-chain evidence, ensuring that the model, inputs, and outputs can be independently verified — without trusting any centralized provider.
What APUS Enables
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Deterministic Execution
Same input, same output—across runs and hardware. Reproducible by design (B3+ levels). -
Confidential GPU Inference
Remote attestation proves your inference ran inside a GPU TEE, binding code, model hash, and nonce. -
On-Chain Verifiability
Every inference emits cryptographic proof headers and Arweave-stored audit logs, allowing anyone to inspect or verify the result independently. -
Decentralized & Trustless
APUS uses AO + Arweave as the foundation for trust-minimized compute, enabling censorship-resistant and tamper-proof AI applications.
The APUS Value Proposition
APUS is the first OpenAI-compatible inference network that delivers deterministic outputs, confidential execution, and verifiable proofs for every API request:- A deterministic output
- A confidential execution environment
- A permanent, verifiable on-chain proof