OGONG is an open protocol and a set of CLI binaries you run yourself, headless, with nothing hosted in between.
The permissionless marketplace. Consumers pay, providers serve and commit their work, validators audit a sample, and the chain settles escrow on a quorum. Verifiable-only supply.
Serve a model from your GPU, commit a checkable record of what you produced, and earn. Fully headless. Composes modalities: text, image and audio at once, each its own subprocess.
A drop-in, OpenAI-compatible endpoint. Point your tools at it; identity is stripped at the router so the provider never learns who you are.
A zero-signup, no-account server you run for yourself or a friend over an encrypted tunnel. Your own GPU, no third party to attest or audit.
# every role runs from the command line
ogong-validatord # validator / audit node
ogong-verifierd # re-runs committed work to score an audit
ogong-routerd # provider marketplace match engine
ogong-gatewayd # OpenAI-compatible consumer endpoint
ogong-provider # provider daemon, also a local model server
ogong-segment-server # serves one layer-range shard in a cohort
ogong-lead # drives a cohort of shards across machinesMost networks decentralize who runs the GPU, then ask you to trust the answer. OGONG checks the answer itself, and settles only when it passes.
| OGONG | Bittensor | Venice | Dolphin | |
|---|---|---|---|---|
| Per-answer correctness | Nearly every answer re-checked (full coverage), about 100× cheaper than generating | Subjective validator consensus; no per-answer proof | Attests which code ran, not that the answer is right | Sampled per-answer logprob checks; probabilistic, not full coverage |
| Verification signal | Hidden-state sketch and logprobs, Merkle-committed, post-quantum signed | Subjective stake-weighted scoring | TEE attestation of code identity (Pro) | Sampled logprobs, model checksum, canaries |
| Modalities verified | Text, image, audio and video, all verified | Multi-modal across subnets; none proven per answer | Text, image, audio, video; correctness not verified | Text LLMs; verification is text-only, image and audio on the roadmap |
| Beyond a single GPU | Verified split inference: one model sharded across a cohort, every slice checked, zero bond | One model per miner; no verified sharding | Centralized; whole model per provider | Pooled nodes, whole model each; requests split, not the model |
| Provider capital | Zero correctness bond; honesty held by full-coverage audit | Recycled-TAO registration; penalties by lost emissions, not slashing | None (centralized provider) | Bonded POD with slashing (100k POD to validate) |
| Privacy | Optional TEE tier, hardware-attested, first-class | Opt-in on some subnets, validator-side | No-log policy by default; TEE is a Pro add-on | Software no-logs; no hardware attestation |
| Decentralization | Permissionless protocol; the verification itself is decentralized | Decentralized subnets | Centralized app, not a decentralized protocol; GPUs rented from third parties | Consumer-GPU DePIN (pooled) |
| Supply | Fixed 1B cap; 80% earned by verified work | 21M cap; distribution mechanism revised over time | Annual emissions plus buy-and-burn | Revenue buy-back |
Comparison reflects each project's public documentation as of June 2026. Projects evolve; check their current docs. Bittensor, Venice and Dolphin are trademarks of their respective owners.