{"dataset":"DeAI Decentralized Inference Provider Tracker — change feed","terms":"History surfaces — append-only change logs and full JSON snapshots — are provided under the DeAI Data License Terms (https://deai.org/data-license): journalism, research, citation and AI answering are expressly permitted royalty-free with attribution; systematic bulk extraction, dataset redistribution, and embedding in commercial products or training corpora require a commercial license.","terms_url":"https://deai.org/data-license","attribution":{"text":"DeAI News, \"Decentralized Inference Provider Tracker\", https://deai.org/tracker","url":"https://deai.org/tracker"},"docs":"https://deai.org/tracker","since":null,"count":62,"changes":[{"date":"2026-10-12","id":"warden","name":"Warden Protocol","category":"gpu-marketplace","field":"onchain.token","change":"X claim (h_governance): 1/            1.1 or 1.25B hard cap is what community wants . But they also want measures 2-6 so this might pass which is a shame. This won't be only opportunity to pass 2-6 . Vote NO! Once 2Billion hard cap set can't be undone. Do what's best for WARD VALUE! 1.1B hardcap!!","grade":"claimed","method":"x-search-sweep","source":"https://x.com/svixlover/status/2109406716559569322"},{"date":"2026-10-12","id":"warden","name":"Warden Protocol","category":"gpu-marketplace","field":"api.models","change":"X claim (a_launch): Have a conviction?  Post it & earn from it!  Up to 36% platform fee for every trade made through your post.   Now available on Token Terminal.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/wardenprotocol/status/2109312217866752158"},{"date":"2026-10-12","id":"phala","name":"Phala Network","category":"tee-play","field":"privacy.mechanism","change":"X claim (e_privacy): @PhalaNetwork lets developers run AI models in protected CPU/GPU environments that isolate prompts from infrastructure operators.  Phala's attestation lets clients check hardware and deployed software. Bind the encrypted connection to that verified environment.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/privateinferenc/status/2109116424614756788"},{"date":"2026-10-12","id":"openserv","name":"OpenServ","category":"standalone-network","field":"api.status","change":"X claim (b_status): We’re building SERV to become core infrastructure for Enterprise AI.  Our early work with Neol gave us a major advantage in building toward our vision.  We had the opportunity to develop SERV against live production workloads across companies and governments, including the UAE government, while establishing a growing footprint across the Middle East.  That meant access to real-world data and learnings that no theoretical framework or whitepaper could provide.  These learnings shaped v1 and v2 of SERV Reasoning, moving our technology from a theoretical framework to a real-world use case, which now feeds directly into SERV v3 and Graph Sharding, the next stage of the reasoning engine.  Neol runs network intelligence for governments and institutions, where agents surface real people for high-stakes decisions. In these environments, “usually right” isn’t good enough. The reasoning needs to be reliable, reproducible, and auditable.  On one of Neol’s production agents, the same evaluation was run 2,400 times: - Prompt-engineered stack: 54.1% reliability - SERV research applied directly: 63.1% - Full SERV Reasoning methodology: 100% across every category  SERV moved the workload from open-ended reasoning into structured decision graphs, then applied learnings from production, including subgraph decomposition and binary judgments, to make the reasoning more deterministic and testable.  Higher reliability was only one part of the result. Neol gained an inspectable reasoning structure where results can be traced back to specific decisions, making the system easier to test, improve, and defend when challenged.  Our vision is to make SERV the reasoning layer enterprises and institutions rely on to run AI at scale. Neol is an early proof point of this journey.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/openservai/status/2107540565277409398"},{"date":"2026-10-12","id":"oasis","name":"Oasis Network","category":"tee-play","field":"record","change":"X claim (f_funding): What happens when one of traditional finance’s most established assets meets confidential blockchain infrastructure?  That’s where @OasisProtocol and @MidasRWA come in.  With mTBILL on Oasis Sapphire, tokenized US Treasury exposure meets a blockchain built for privacy and verifiable execution. 🌹🧵  $ROSE #mTBILL","grade":"claimed","method":"x-search-sweep","source":"https://x.com/HarryBee_Yhu/status/2109432671084437687"},{"date":"2026-10-12","id":"near-ai","name":"NEAR AI","category":"standalone-network","field":"privacy.mechanism","change":"X claim (e_privacy): @near_ai's Confidential TEE tier runs models on protected CPUs and GPUs, isolating inference data from host operators.  NEAR AI clients can verify gateway and model attestations. Optional end-to-end encryption also hides prompt content from the gateway.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/privateinferenc/status/2109116425998630922"},{"date":"2026-10-12","id":"dolphin","name":"Dolphin Network","category":"gpu-marketplace","field":"scale.tokens_per_day","change":"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","grade":"claimed","method":"x-search-sweep","source":"https://x.com/dphnAI/status/2109297051879997770"},{"date":"2026-10-12","id":"dolphin","name":"Dolphin Network","category":"gpu-marketplace","field":"api.models","change":"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 →","grade":"claimed","method":"x-search-sweep","source":"https://x.com/dphnAI/status/2109297046780055762"},{"date":"2026-10-05","id":"venice","name":"Venice AI","category":"standalone-network","field":"api.models","change":"X claim (a_launch): 267 updates in 30 days. Roughly nine a day, every day, all of September. Here's what shipped 🧵 Text (22): GPT-6 Astra, Astra Pro, Sol, Luna + GPT-6.1 Sol Claude Opus 5.5 + Fast, Sonnet 5.5, Fable 5.1 Kimi K3 + K2.6 GLM 5.3 + 5.3 Flash Qwen 3.8 Flash + 27B Gemini 3.8 Flash Grok 4.7 DeepSeek V4.1 Flash MiMo-V2.6-Flash Mercury 2.5 Aion 3.5 + Mini Video, audio + image (15): Video: Seedance 2.5 US + R2V, MiniMax H3 Max Turbo, Multi-Angle + R2V, Wan 3.0 Pro, Prime Pro + Reference variants Audio: ElevenLabs TTS v4 + v4 Turbo, Music v2 + v2.5 Image: GPT Image 2.5 Flare + Sunburst, Muse Image, ideogram v4.5","grade":"claimed","method":"x-search-sweep","source":"https://x.com/AskVenice/status/2106075958675702190"},{"date":"2026-10-05","id":"targon","name":"Targon","category":"bittensor-subnet","field":"api.models","change":"X claim (a_launch): We're excited to share that Bare Metal and Sandboxes are now live on https://Targon.com Bare Metal → An entire physical machine dedicated to your organization → No hypervisor, no container runtime, no noisy neighbors → Full control of kernel, drivers and firmware-level GPU settings → Every operator is KYC-verified, keeping workloads secure without TVM Sandboxes → Short-lived, isolated Linux environments for development, testing, previews and agents → Provisioning to running within seconds → Browser terminal, graphical Linux desktop or SSH → Fork independent copies for parallel experiments and agent tasks → Publish a template from any setup worth repeating → Pause when idle to stop active compute billing, resume anytime","grade":"claimed","method":"x-search-sweep","source":"https://x.com/TargonCompute/status/2105004608531939718"},{"date":"2026-10-05","id":"solrouter","name":"SolRouter","category":"tee-play","field":"scale.tokens_per_day","change":"X claim (c_scale): Spent today optimizing memory, context & latency → Replies now stream as they’re written instead of arriving as one blob → Long-chat time-to-first-word: 2.1s → 0.67s → Narrower context selection: ⅓ of the tokens per message → Targeted memory extraction, meaning lighter workloads & lower latency","grade":"claimed","method":"x-search-sweep","source":"https://x.com/solrouterai/status/2106392350612136390"},{"date":"2026-10-05","id":"solrouter","name":"SolRouter","category":"tee-play","field":"api.models","change":"X claim (a_launch): 152 PRs Later In September we moved from browser to mobile, bringing users a significantly more capable app, with new models, live trading, and better UX. ... The new models We don't rent frontier capacity and resell it. Every model we serve runs inside an enclave we operate, on GPUs we control... added two bigger models; - Qwen 3-Coder 30B - Qwen 3.5 122B ... Products in development We’ve finally reached a level of product maturity and composability that allows us to build and scale products much faster. ... - Router Labs, our B2B arm... - A local proxy for coding tools... - A native macOS app... October outlook - Finish development on Plugin and Desktop - Close our first paying institutional clients - Complete testing and get the app into the App Store and Google Play - Announce our ecosystem partners we've been cooking with behind closed doors","grade":"claimed","method":"x-search-sweep","source":"https://x.com/solrouterai/status/2106043716674703744"},{"date":"2026-10-05","id":"phala","name":"Phala Network","category":"tee-play","field":"record","change":"X claim (f_funding): SOON Network's Strategic Investment in Phala's TEE GPU Cluster Powers Private, Verifiable Compute for AI Agents","grade":"claimed","method":"x-search-sweep","source":"https://x.com/PhalaNetwork/status/2104053087367467505"},{"date":"2026-10-05","id":"phala","name":"Phala Network","category":"tee-play","field":"privacy.mechanism","change":"X claim (e_privacy): Your coding agent can read your entire codebase. Private AI Proxy verifies the AI service before that context leaves your machine, using hardware attestation, TLS key pinning, and fail-closed forwarding. Get v0.3.0 for macOS, Windows, or Linux: https://github.com/Dstack-TEE/private-ai-gateway/releases/tag/desktop-v0.3.0","grade":"claimed","method":"x-search-sweep","source":"https://x.com/PhalaNetwork/status/2105466774238167442"},{"date":"2026-10-05","id":"openserv","name":"OpenServ","category":"standalone-network","field":"api.models","change":"X claim (a_launch): Give builders SERV Reasoning and let them cook. Onchain trading agents, AI fund managers, autonomous wallets, RWA risk, programmable payments, treasury management, gaming and more. SERV Hackathon winners announced next week.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/openservai/status/2106030461269225549"},{"date":"2026-10-05","id":"near-ai","name":"NEAR AI","category":"standalone-network","field":"scale.tokens_per_day","change":"X claim (c_scale): NEAR AI has claimed first place on the Lean Eval v1 leaderboard. Lean Eval v1 is an active benchmark maintained by Lean FRO that contains extremely hard formalization problems. We reached first place despite joining the competition just four weeks ago, a full month later than other top participants. ... The system that enabled us to claim first place is almost entirely powered by DeepSeek V4.1 Flash, and thus is (a) extremely cheap, and (b) has no dependencies on third parties because the model is open weight.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/near_ai/status/2106142785103655321"},{"date":"2026-10-05","id":"near-ai","name":"NEAR AI","category":"standalone-network","field":"api.models","change":"X claim (a_launch): Wanted to move away from OpenAI and Anthropic, so I built a #VSCode extension that brings @near_ai private inference directly into #Copilot Use SOTA models and keep your chats private and secure, with cryptographic attestations to verify that Available @ https://marketplace.visualstudio.com/items?itemName=NEARDev.near-ai-for-copilot","grade":"claimed","method":"x-search-sweep","source":"https://x.com/near_ai/status/2105790251008676026"},{"date":"2026-10-05","id":"ionet","name":"io.net","category":"gpu-marketplace","field":"scale.tokens_per_day","change":"X claim (c_scale): The same 70B workload. Four GPUs. Twenty hours a day: AWS on-demand: around $9,600 a month. https://t.co/ZuybGWvjv9: $3,576 a month.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/ionet/status/2105642610165420431"},{"date":"2026-10-05","id":"ionet","name":"io.net","category":"gpu-marketplace","field":"api.models","change":"X claim (a_launch): Your agent writes the code. Then it tests it, picks a GPU, deploys the container, pays for it, and shuts it down. Nobody had to file a ticket or get woken up at 2am. That's what infrastructure built for agents looks like. @ionet Agent Cloud. https://io.net/blog/why-ai-agents-need-autonomous-compute-infrastructure","grade":"claimed","method":"x-search-sweep","source":"https://x.com/ionet/status/2106299213231358027"},{"date":"2026-10-05","id":"engy","name":"Engy","category":"bittensor-subnet","field":"scale.tokens_per_day","change":"X claim (c_scale): MOAR 💰& 🔥 for #SN53 @engyai 10/4/24 > $18,479 https://provider.engy.ai/buyback","grade":"claimed","method":"x-search-sweep","source":"https://x.com/Pop_Collapse/status/2106877501213483443"},{"date":"2026-10-05","id":"dolphin","name":"Dolphin Network","category":"gpu-marketplace","field":"record","change":"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)","grade":"claimed","method":"x-search-sweep","source":"https://x.com/HuobiGlobal/status/2106693311927136718"},{"date":"2026-10-05","id":"chutes","name":"Chutes","category":"bittensor-subnet","field":"record","change":"X claim (f_funding): Chutes has a new CEO. Christian Hyland (@cjohan247), ex-Coinbase, Toku, First Wave AI → Parallax is pretraining an 8B MoE in public. Live register, every number read from the fleet as it trains: https://parallax.chutes.ai → Jon's inference preview: 15.5k output tok/s on a single RTX 5090. Unoptimized branch, read it as a preview → New confidential VM shipped.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/chutes_ai/status/2102459878753333466"},{"date":"2026-10-05","id":"chutes","name":"Chutes","category":"bittensor-subnet","field":"scale.tokens_per_day","change":"X claim (c_scale): The 8B was trained decentralized, on RTX 5090s rented from different data centers. Training came to $11.27 per billion tokens, measured. The whole run was about $6,500 in GPU rent at retail hourly price.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/chutes_ai/status/2104930453514076583"},{"date":"2026-09-21","id":"venice","name":"Venice AI","category":"standalone-network","field":"api.models","change":"X claim (a_launch): Jev by @typesafeai is now on the Venice API, in beta.  It answers, it doesn't write. Send it your app's state and typed questions. Get back a typed answer your code can branch on: a probability, a chosen option, or a score on your rubric. No JSON to coax out of a chat model.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/AskVenice/status/2101095644467511578"},{"date":"2026-09-21","id":"solrouter","name":"SolRouter","category":"tee-play","field":"api.models","change":"X claim (a_launch): Trading automations and perps are now live on Solrouter Web  Type what you want: - Price triggers - Daily DCA - Phoenix perps + stop losses  Everything settles inside the enclave. Keys never leave the TEE.  Fills + alerts land in Telegram.  Live now: https://www.solrouter.com/","grade":"claimed","method":"x-search-sweep","source":"https://x.com/SolRouterAI/status/2101387573725655226"},{"date":"2026-09-21","id":"phala","name":"Phala Network","category":"tee-play","field":"scale.tokens_per_day","change":"X claim (c_scale): Phala Confidential AI: 178.40 billion tokens over the past 24 hours.  Top models: GLM-5.3 47.87% deepseek-v4-pro-0813 12.79% GLM-5.3 Flash 10.08%  https://phala.com/models/z-ai/glm-5.3  TEE-backed AI infrastructure.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/PhalaNetwork/status/2100846060952584385"},{"date":"2026-09-21","id":"openserv","name":"OpenServ","category":"standalone-network","field":"record","change":"X claim (f_funding): AI agents will manage trillions in capital across financial markets.  Join the Spaces on Sep 22 with OpenServ Founder & CEO @open_founder and @IxsFinance CEO @julian2kwan, to explore what developers can build with SERV - across RWAs, tokenized stocks, automated trading, and more.  As AI takes on increasingly complex financial decisions, managing real capital at scale requires better decision-making. With SERV Reasoning, developers will finally be able to build smarter, more reliable agents.  Build the future of agentic finance today, and join the 1st SERV Hackathon: https://t.co/QphkmsaqUr","grade":"claimed","method":"x-search-sweep","source":"https://x.com/openservai/status/2101661878644535615"},{"date":"2026-09-21","id":"openserv","name":"OpenServ","category":"standalone-network","field":"api.models","change":"X claim (a_launch): The 1st SERV Hackathon is live.  Two weeks to build with SERV Reasoning and get rewarded.   Get hands-on early before SERV v3/v4 brings graph sharding, self-improving intelligence, and task-specific models.  Submissions close Sept 28. Pick your track: https://www.openserv.ai/hackathon","grade":"claimed","method":"x-search-sweep","source":"https://x.com/openservai/status/2099514282530541750"},{"date":"2026-09-21","id":"near-ai","name":"NEAR AI","category":"standalone-network","field":"privacy.mechanism","change":"X claim (e_privacy): SayGm protects the route. NEAR AI protects the environment running the model: Intel TDX virtual machines paired with NVIDIA confidential-computing GPUs.  No account or API key needed to request our attestation report and check it against Intel and NVIDIA.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/near_ai/status/2101053168037888000"},{"date":"2026-09-21","id":"near-ai","name":"NEAR AI","category":"standalone-network","field":"api.models","change":"X claim (a_launch): NEAR AI Cloud's confidential inference is now live on @say_gm_'s confidential tier.  SayGm reaches dozens of models through one API key, and runs its own routing inside an Intel TDX enclave rather than on ordinary servers.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/near_ai/status/2101053165730988390"},{"date":"2026-09-21","id":"ionet","name":"io.net","category":"gpu-marketplace","field":"scale.tokens_per_day","change":"X claim (c_scale): 96 GPUs in under 24 hours with zero waiting.  That's what it took for @wonderaai to go from compute-constrained to shipping.  64 H100s and 32 H200s rapidly provisioned on @ionet.   Not queued for months on a waitlist.  The results: - 200,000 users in 4 months, across 171 countries - 50% month-over-month growth - Launched 3 months ahead of schedule  This is what happens when your compute keeps up with how fast you can build.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/ionet/status/2101594966208266618"},{"date":"2026-09-21","id":"darkbloom","name":"Darkbloom","category":"gpu-marketplace","field":"api.models","change":"X claim (a_launch): NEW: Bonsai 2 is LIVE on Darkbloom  PrismML compressed Qwen3.8 27B to 8.5 GB and kept 98.2% of its benchmark scores. A full 27B reasoning model that fits on a phone.  On Darkbloom, it runs from a browser tab.  First 250 users get 100 million free tokens.  https://console.darkbloom.dev/chat","grade":"claimed","method":"x-search-sweep","source":"https://x.com/darkbloomai/status/2101019647420297665"},{"date":"2026-09-21","id":"chutes","name":"Chutes","category":"bittensor-subnet","field":"api.models","change":"X claim (a_launch): We gave Hermes the Chutes Agent Toolkit and one prompt. It read the docs, ran the doctor script, and wrote a provider config I could review before it touched anything. Then the test call failed: We forgot to fund my account. Prompt, config, attestation: https://chutes.ai/news/open-agent-open-weights-open-enclave","grade":"claimed","method":"x-search-sweep","source":"https://x.com/chutes_ai/status/2099921225489227883"},{"date":"2026-09-14","id":"warden","name":"Warden Protocol","category":"gpu-marketplace","field":"api.models","change":"X claim (a_launch): $HALO is live on Robinhood Chain. First stop beyond Base. Official CA: 0xF4F0d634915a522f05ec0B89064950e91E435565","grade":"claimed","method":"x-search-sweep","source":"https://x.com/wardenprotocol/status/2098376262905376947"},{"date":"2026-09-14","id":"venice","name":"Venice AI","category":"standalone-network","field":"api.models","change":"X claim (a_launch): DeepSeek V4.1 Flash is now available on Venice, fully private.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/AskVenice/status/2098147408647471483"},{"date":"2026-09-14","id":"solrouter","name":"SolRouter","category":"tee-play","field":"privacy.mechanism","change":"X claim (e_privacy): People keep asking how we're different from other private AI companies. Most stop at one piece: encrypted transport, or a trusted enclave. So far we haven't seen anyone else shipping all three: client-side encryption, an attested enclave, and open weights on their own nodes.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/SolRouterAI/status/2099122182072746390"},{"date":"2026-09-14","id":"phala","name":"Phala Network","category":"tee-play","field":"scale.tokens_per_day","change":"X claim (c_scale): Phala Confidential AI: 78.09 billion tokens over the past 24 hours.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/PhalaNetwork/status/2098088689067008476"},{"date":"2026-09-14","id":"openserv","name":"OpenServ","category":"standalone-network","field":"api.models","change":"X claim (a_launch): Today, we open access to production-grade AI reasoning for every team. SERV Reasoning API is now live.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/openservai/status/2098393369500156236"},{"date":"2026-09-14","id":"nesa","name":"Nesa","category":"standalone-network","field":"api.status","change":"X claim (b_status): NES trading across exchanges will resume on Thursday, September 10 with exact time to be announced soon.","grade":"claimed","method":"x-search-sweep","source":"https://x.com/nesaorg/status/2097459610974081091"},{"date":"2026-09-14","id":"near-ai","name":"NEAR AI","category":"standalone-network","field":"scale.tokens_per_day","change":"X claim (c_scale): Abound serves 800K+ users and has moved $300M+ in remittances. 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