Serverless compute: read the guide
Chutes
Open coreServerlessBreakthrough Serverless Compute for AI, at Scale.
Scanned 14 Oct 2026 · Schema v5 · features v21
- From
- $3/mo
Pay-as-you-go token inference and GPU-second custom deployments, plus optional monthly request bundles.
- Free tier
- No
No card required.
- Isolation
- Container
shares the host kernel
- Regions
- 1
worldwide, permissionless miners
- Capabilities
- 13 / 61
8 partial · 25 fail · 0 not assessed
- Agent readiness
- 10/11 · 10/11
read · drive, pre-login surface
Advertised for
LLM inference · Custom AI apps (FastAPI chutes) · Image/diffusion models · Speech/video models · Embeddings · Background/batch jobs
Built for
Developers, then technical
- · API/SDK/CLI-first (pip install chutes; chutes deploy; OpenAI-compatible base_url) — no GUI builder
- · Deep infra vocabulary: GPUs, Docker images, NodeSelector, TEE/TDX attestation, Bittensor/SS58, vLLM/SGLang
- · Usage/compute pricing (per-token, per-GPU-second) + crypto top-up
01 Pricing Pay-as-you-go token inference and GPU-second custom deployments, plus optional monthly request bundles.
| Tier | EntryPay-as-you-go | Base | Plus | Pro | TopEnterprise |
|---|---|---|---|---|---|
| Price | Usage-based | $3/month | $10/month | $20/month | Custom pricing |
per token (inference) + per GPU-second/hour (deployed chutes) + per-deploy fee·Card required: No·chutes.ai
Overages: PAYG per-model token rates beyond bundled quotas; Plus discount 6%, Pro 10%; private GPU deployments billed separately.
02 Website design Desktop public website · assessed 14 Oct 2026
Complete assessment.
Dark, spacious AI infrastructure site with oversized pale sans-serif headings, mint pill actions, a rainbow abstract landing visual, terminal-style pricing panels and dense documentation navigation.
- Technical illustration
- Corporate
- Landing page: captured
- Pricing: captured
- Docs: captured
03 Runtime Each fact carries its source; dots show confidence. Open a row for the evidence.
Isolation & lifecycle
Resources & limits
Access
Network & secrets
Placement & use
04 Capabilities 13 pass · 8 partial · 25 fail · 61 of 61 assessed
- Supported — Documented on the public surface and verified.
- Partially supported — Exists with caveats: gated, thin, or enterprise-only.
- Not supported — Checked and not offered.
- Not assessed — Scanned before this capability was tracked. Not a lack.
Compute & storage 3/9
Networking & delivery 1/5
Developer access 4/7
AI & agents 3/11
Data 0/1
Platform & operations 0/4
Organisation & security 2/9
Proposed, not verified
Capabilities the scan saw but the registry does not track yet. A key is admitted only once two distinct products exhibit it. These are not scored.
- Confidential compute / TEE (Intel TDX + NVIDIA confidential GPUs; hardware-isolated, attestable, operator-blind inference; E2E-encrypted + post-quantum)confidential-compute
“Current public catalogue is all TEE-backed; private deployments use tee=True. Intel TDX and NVIDIA confidential compute with hardware attestation; no new taxonomy key admitted.” chutes.ai
- Decentralized compute (permissionless Bittensor miner GPU network — the substrate)decentralized-compute
“Decentralized serverless compute powered by Bittensor; permissionless miner GPU supply. Proposed only; no registry mutation.” chutes.ai
- Crypto-native payments (top up balance in $TAO / Bittensor alpha tokens to a per-account SS58 address, on-chain, auto-converted to USD)crypto-payments
“Pay from a Bittensor wallet in TAO; balances converted to USD. Proposed only; no registry mutation.” chutes.ai
- Model failover/quality routing on the inference endpoint (default:latency / default:throughput / inline multi-model failover)model-failover-routing
“Toolkit chutes-routing documents model pools, aliases and intra-catalogue routing; this is not a multi-provider gateway.” chutes.ai
05 Agent readiness Pre-login surface · counts, not a grade
Can an agent read it?
parse-ability · docs, metadata, machine-readable surfaces
10/11
8 full · 2 partial · 91% of applicable checks
- llms.txtSupported
- llms-full.txtSupported
- robots.txt AI policySupported
- JSON-LDPartially supported
- SitemapSupported
- Meta tagsSupported
- Markdown negotiationNot supported
- Content efficiencyPartially supported
- Docs discoverableSupported
- Machine-readable pricingSupported
- No anti-bot wallSupported
Can an agent drive it?
act-ability · APIs, SDKs, MCP, credentials, webhooks
10/11
8 full · 2 partial · 91% of applicable checks
- Public APISupported
- OpenAPI specSupported
- MCP serverSupported
- SDK packagesPartially supported
- Auth documentedSupported
- Self-serve credentialsSupported
- WebhooksNot supported
- CLI toolSupported
- Error modelSupported
- Rate limits documentedPartially supported
- Agent config filesSupported
06 Coding harnesses Which agents and IDEs are documented to run here
Advertised integrations 9
- Claude Code AnthropicSupported
- Codex CLI OpenAISupported
- Cursor AnysphereSupported
- Cline ClineSupported
Aider AiderSupportedKilo Code Kilo
Supported- Roo codeSupported
Hermes Agent Nous ResearchSupportedOpenClaw Peter Steinberger
Supported
Plausible compatibility 0
Derived, not stored: the product passes SSH access, so any CLI coding agent is installable inside it. This is plausible compatibility, not a supported integration.
No general shell access documented, so nothing is derived. Absence is not unsupported.
07 Compliance & regions Standards held, with ordinal rigor; never a score
Certifications held 1
- GDPRself-attestedhosted
Regions 1
- worldwide, permissionless minersDecentralized global miner network (Bittensor)
Compute is supplied by a globally-distributed, permissionless miner network — inherently multi-region but with NO user-facing region selection or data-residency control (a trade-off of the decentralized model; live node/utilization data at chutes.ai/app/research/nodes). The hosted control plane (api.chutes.ai / llm.chutes.ai) is centralized; the GPU execution is decentralized.
08 Open source MIT · fetched by machine, not quoted from marketing
Licence & repository
- Licence
- MITOSI
- Primary language
- Python
- Stars
- 28
- Forks
- 18
- Created
- 6 Nov 2024
- Archived
- No
Activity
- Last commit
- 3 Sep 2026
- Latest release
- —
- Issues open / closed
- 9 / 2 · 18% closed
No GitHub releases returned; main last pushed 2026-09-03T16:07:10Z
Fetched via gh on 14 Oct 2026.
Self-hosting
- Methods
- dockercomposekuberneteshelmansible
- You operate
- postgreskubernetesgpu
MIT backend API, SDK and miner components are public. README documents docker-compose local development and Helm/Kubernetes deployment; requires platform dependencies and GPU infrastructure. Self-hosting does not provide hosted network GPU capacity. Security architecture identifies private components whose source is not public. Free under MIT plus operator infrastructure; not a turnkey replica of the hosted service. README warns of expensive extensive infrastructure, miner server allocation per validator, and SDK domains defaulting to chutes.ai requiring overrides or a fork.
Documentation signals 8/8
- SupportedQuickstart
- SupportedAPI reference
- SupportedSelf-host guide
- SupportedChangelog
- SupportedOpenAPI
- Supportedllms.txt
- SupportedExamples
- SupportedArchitecture doc
09 Company & presence Facts only, not scored
Company
- Headquarters
- Distributed / decentralized (no central HQ)
- Founded
- 2024 (under Chutes Global Corp; a Bittensor-subnet-native platform)
- Team size
- 8 named people on current team page; not a total employee headcount.
Notable people
- Jon Durbin (backend; known open-source AI/dataset contributor)
- Cxmplex (backend)
Activity
- Last release
- No GitHub releases; main pushed 2026-09-03T16:07:10Z github.com
- Last blog post
- I let Hermes write its own Chutes config — September 15, 2026 chutes.ai
Presence 7
Links found on the public surface scanned; not an exhaustive search.
10 Sources & method How this entry was produced
Public surface only
Everything here was read from chutes.ai's unauthenticated pages, docs, pricing and repository on 14 Oct 2026. Nothing behind a login was used.
Statuses, not scores
Capabilities are pass, partial or fail against a written rubric (features v21). “Not assessed” means the scan predates the key.
Confidence is separate
Each fact carries its own confidence. Low-confidence facts are shown, never hidden, so you can weigh them.
- Schema
- scan v5
- Features registry
- v21
- Keys tracked today
- 61
- Assessed on this entry
- 61