Tenstorrent website screenshot

Tenstorrent

Tenstorrent is an AI hardware company designing Tensix and Tensix++ based AI accelerators on the open RISC-V architecture, including the Wormhole and Blackhole generations of cards, the TT-QuietBox workstation, and the Galaxy Blackhole 6U server housing 32 Blackhole chips. The company is unusual in the AI silicon space for shipping a fully open-source software stack including TT-Metal (the low-level kernel and operator library), TT-Forge (an MLIR-based compiler for PyTorch, JAX, and ONNX), TT-MLIR, TT-XLA, the TT-Inference-Server, and RISC-V cores and toolchains. Pricing is published from 999 dollars for an entry card up to 440,000 dollars for a base Galaxy supercluster. Tenstorrent does not currently offer a public hosted-inference API, so this profile catalogs hardware, SDKs, compilers, and open-source repositories rather than an HTTP API surface.

Tenstorrent is profiled on the APIs.io network. Tagged areas include AI Hardware, RISC-V, Accelerator, Open-Source, and Compiler.

Tenstorrent’s developer surface includes documentation, engineering blog, and 20 more developer resources.

12.0/100 emerging ▬ flat Agent 0/100 human only library Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
AI HardwareRISC-VAcceleratorOpen-SourceCompilerMLIRPyTorchJAXSDKData-Center

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/tenstorrent: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Tenstorrent Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 2

Authentication, authorization, and security posture

Operate 1

Status, limits, changes, and where to get help

Company 4

The organization behind the API

Other 11

Properties that don't map to a standard resource type

Scroll for all 11

Source (apis.yml)

apis.yml Raw ↑
aid: tenstorrent
name: Tenstorrent
description: Tenstorrent is an AI hardware company designing Tensix and Tensix++ based AI accelerators on the open RISC-V
  architecture, including the Wormhole and Blackhole generations of cards, the TT-QuietBox workstation, and the Galaxy Blackhole
  6U server housing 32 Blackhole chips. The company is unusual in the AI silicon space for shipping a fully open-source software
  stack including TT-Metal (the low-level kernel and operator library), TT-Forge (an MLIR-based compiler for PyTorch, JAX,
  and ONNX), TT-MLIR, TT-XLA, the TT-Inference-Server, and RISC-V cores and toolchains. Pricing is published from 999 dollars
  for an entry card up to 440,000 dollars for a base Galaxy supercluster. Tenstorrent does not currently offer a public hosted-inference
  API, so this profile catalogs hardware, SDKs, compilers, and open-source repositories rather than an HTTP API surface.
type: Index
deliveryModel:
  model: library
  open_source: false
  commercial: false
  callable_host: false
  label: Library · distributed through package registries, no callable service
  confidence: low
  source:
  - none
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/tenstorrent.png
tags:
- AI Hardware
- RISC-V
- Accelerator
- Open-Source
- Compiler
- MLIR
- PyTorch
- JAX
- SDK
- Data-Center
tags_raw:
- AI Hardware
- RISC-V
- Accelerator
- Open Source
- Compiler
- MLIR
- PyTorch
- JAX
- SDK
- Datacenter
url: https://raw.githubusercontent.com/api-evangelist/tenstorrent/refs/heads/main/apis.yml
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.23'
apis: []
common:
- type: DomainSecurity
  url: security/tenstorrent-domain-security.yml
- type: Website
  url: https://tenstorrent.com
- type: Hardware
  url: https://tenstorrent.com/en/hardware/wormhole
- type: Hardware
  url: https://tenstorrent.com/en/hardware/blackhole
- type: Hardware
  url: https://tenstorrent.com/en/hardware/galaxy
- type: Hardware
  url: https://tenstorrent.com/en/hardware/tt-quietbox
- type: DeveloperPortal
  url: https://tenstorrent.com/developers
- type: Documentation
  url: https://docs.tenstorrent.com
- type: GitHubOrganization
  url: https://github.com/tenstorrent
- type: SDKs
  url: https://github.com/tenstorrent/tt-metal
- type: Compiler
  url: https://github.com/tenstorrent/tt-forge
- type: Compiler
  url: https://github.com/tenstorrent/tt-mlir
- type: Compiler
  url: https://github.com/tenstorrent/tt-xla
- type: InferenceServer
  url: https://github.com/tenstorrent/tt-inference-server
- type: Debugger
  url: https://github.com/tenstorrent/tt-exalens
- type: Simulator
  url: https://github.com/tenstorrent/polaris
- type: Discord
  url: https://discord.gg/tenstorrent
- type: Blog
  url: https://tenstorrent.com/en/news
- type: BountyProgram
  url: https://tenstorrent.com/en/bounties
- type: LinkedIn
  url: https://www.linkedin.com/company/tenstorrent-inc
- type: Twitter
  url: https://twitter.com/tenstorrent
- type: Email
  url: mailto:ospo@tenstorrent.com
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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