Independent/Reader-funded/Infrastructure, not tokens
DeAINEWS

AI you control — open models, private inference, and the networks that run them.

Provider TrackerBittensor subnet

Chutes

Bittensor subnet · Tier 1 · API Live

Seeded record — this provider has not yet been through the independent verification pass. Treat every claimed/unverified field below as unconfirmed.

Identity

CategoryBittensor subnet
Tier1
Record statusUnverified
First tracked2026-08-24
Last checked2026-10-12
Last changed2026-10-05
Websitehttps://chutes.ai
AliasesSN64, chutes_ai

Chutes is a decentralized serverless inference marketplace running on Bittensor subnet 64, offering an OpenAI-compatible endpoint that serves a mix of frontier and open-weight models and distributes through OpenRouter as one of several access routes. The project claims hardware-attested TEE execution and end-to-end encryption so prompts stay invisible to the GPU operators serving them. Its API surface is well-documented and publicly listed, which is why the OpenAI-compatibility and endpoint fields here sit at `corroborated` rather than the default `unverified` — the claim is backed by public documentation and an OpenRouter listing, but has not yet been confirmed by our own direct probe. Volume, revenue, and the TEE attestation itself remain `claimed`: none of them are independently checkable from public information alone.

API

FieldValueGradeNote
OpenAI-compatibletrueCorroboratedDocumented publicly and listed as an OpenRouter provider; not yet confirmed by our own direct probe, so held at corroborated rather than verified.
Endpointhttps://llm.chutes.ai/v1CorroboratedEndpoint URL as published in provider docs / roster sweep; not yet probed.
StatusliveClaimed—
Models—UnverifiedFrontier and open models claimed served; no model enumeration performed yet.
Accessdirect, openrouterClaimed—

Privacy

FieldValueGradeNote
MechanismTEE (confidential compute), End-to-end encryptionClaimedHardware-attested TEE claimed; attestation not independently validated.
Attestation independently verifiablefalseUnverifiedNo attestation-validation check has been run yet.
Zero-retention—UnverifiedNo explicit zero-retention claim identified in the roster sweep.

Scale

FieldValueGradeNote
Tokens/daytens of billions of tokens/day (claimed, 7-day avg)ClaimedSelf-reported order-of-magnitude figure; not cross-checked against OpenRouter-observed volume.
ARR estimate—Unverified—
Pricing published—Unverified—

On-chain

FieldValueGradeNote
TokenTAO subnet emissions (Bittensor SN64)ClaimedSubnet registration and emissions not yet independently queried on-chain.
Self-dealing flag—N/A—

Change log

  • 2026-08-24 — record: seeded from provider roster v1.0 (Unverified) (source)
  • 2026-09-14 — record: X claim (f_funding): Today the Chutes team is happy to introduce our new CEO, Christian Hyland @cjohan247. (Claimed) (source)
  • 2026-09-21 — api.models: 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 (Claimed) (source)
  • 2026-10-05 — scale.tokens_per_day: 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. (Claimed) (source)
  • 2026-10-05 — record: 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. (Claimed) (source)

The change log is append-only: corrections are recorded as new entries, never rewrites. Full feed via /api/v1/changes.

Sources

  1. [roster] docs/decentralized-inference-provider-roster.md (2026-08-24)
  2. [website] https://chutes.ai (2026-08-24)
  3. [x-account] https://x.com/chutes_ai (2026-08-24)

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