Dolphin Network
GPU marketplace · Tier 1 · API Live
Last checked 2026-10-12Record status: Unverified@dphnAIJSON ↗ Seeded record — this provider has not yet been through the independent verification pass. Treat every claimed/unverified field below as unconfirmed.
Identity
| Category | GPU marketplace |
| Tier | 1 |
| Record status | Unverified |
| First tracked | 2026-08-24 |
| Last checked | 2026-10-12 |
| Last changed | 2026-10-12 |
| Website | https://dphn.ai |
| Aliases | dphnAI, DPHN |
Dolphin Network is a distributed peer-to-pool inference network that lets
consumer-GPU owners repurpose idle hardware to serve open-weight models — an
uncensored-models focus is part of its positioning — and earn its token in
exchange. The roster notes Dolphin supplies some of the models Venice serves
upstream, one of several links between providers on this list.
Fraud-resistance claims (sampled-inference validation, validator scoring,
cryptoeconomic bonds) come from the project's own materials and are recorded here
as claims pending independent review; no volume or on-chain token-flow check has
run yet.
API
Privacy
Scale
On-chain
Change log
- 2026-08-24 — record: seeded from provider roster v1.0 (Unverified) (source)
- 2026-10-05 — record: X claim (f_funding): 火币HTX公告将上线 $POD (Dolphin) @dphnAI 📌 Dolphin 是一个去中心化 AI 推理网络,聚合消费级 GPU 的空闲算力,为 AI 应用提供低成本推理服务。 ✅ 充币业务已开启 ⏰ 币币交易 2026年10月04日21:00 (UTC+8) ⏰ 提币业务 2026年10月05日21:00 (UTC+8) (Claimed) (source)
- 2026-10-12 — api.models: X claim (a_launch): The Dolphin Inference API is now live Powered by DeepSeek V4.1 Flash, it delivers Opus 5-class coding & agentic performance at 97% lower cost than frontier models $30 free credits for the first 1,000 signups Start building with the cheapest API on the market → (Claimed) (source)
- 2026-10-12 — scale.tokens_per_day: X claim (c_scale): Our inference network processed over 8T tokens across 1.6k unique workers since inception During that period of time we were able to: • improve our anti-cheat systems • scale up to thousands of workers & GPUs across the globe • work with and around slow workers while still giving them the chance to contribute • cut worker setup down to a few simple steps • make routing much more stable in capacity recovery states Benchmarking of our multi-node DeepSeek V4.1 Flash pool shows a consistent 96-98% average cache hit rate on agentic usage The high frequency of cache hits results in the fastest & most cost effective API experience for prefill heavy usage that is typical with agent / harness workloads (Claimed) (source)
The change log is append-only: corrections are recorded as new entries, never rewrites. Full feed via /api/v1/changes.
Sources
- [roster] docs/decentralized-inference-provider-roster.md (2026-08-24)
- [website] https://dphn.ai (2026-08-24)
- [x-account] https://x.com/dphnAI (2026-08-24)