OctoAI website screenshot

OctoAI

OctoAI (formerly OctoML) was a Seattle-based AI inference platform founded in 2019 as a University of Washington Allen School spin-out of the Apache TVM project. The company originally focused on machine-learning model optimization and compilation across CPUs, GPUs, and accelerators, and in June 2023 launched a generative-AI SaaS inference platform that served open-source foundation models (Llama 2, Mixtral, SDXL, Stable Diffusion, Whisper) behind OpenAI-style REST APIs with Python and TypeScript SDKs. In January 2024 OctoML formally rebranded to OctoAI and in April 2024 unveiled OctoStack, a self-contained generative-AI production stack for deploying models inside customer VPC and on-premises environments across NVIDIA GPUs, AMD GPUs, and AWS Inferentia. NVIDIA acquired OctoAI in September 2024 for a reported $165M (down from a 2021 peak valuation of ~$900M), with CEO Luis Ceze and key staff joining NVIDIA. OctoAI sent customers a "Wind down of OctoAI Services" notice and terminated all hosted endpoints, accounts, and SDK access on 31 October 2024. The octo.ai domain now 301-redirects to nvidia.com and no public OctoAI product, API, dashboard, or developer portal remains; the technology has been absorbed into NVIDIA's internal AI inference stack and is not separately purchasable. This catalog entry is a historical record of the former OctoAI developer surface and the GitHub artifacts that remain.

OctoAI publishes 5 APIs on the APIs.io network. Tagged areas include Acquired, Defunct, AI Inference, Generative AI, and LLM.

8.5/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-05 · rubric v0.9.1
5 APIs 6 Features 4 Use Cases
AcquiredDefunctAI InferenceGenerative AILLMFoundation ModelsModel OptimizationApache TVMGPUPrivate AINVIDIA

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-05 · rubric v0.9.1
Composite quality — 8.5/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 1.3 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.7 / 13
Governance 0.0 / 12
Discoverability 6.5 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/octoai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

APIs 5

Individual APIs this provider publishes, each with its own machine-readable definition.

OctoAI Text Gen Inference API

OpenAI-compatible chat and text-completion endpoints serving open-source LLMs including Llama 2, Llama 3, Mixtral 8x7B, Mistral 7B, Code Llama, and customer fine-tunes. Supporte...

OctoAI Image Gen Inference API

Text-to-image and image-to-image inference for SDXL, SDXL-Lightning, Stable Diffusion 1.5, and SSD-1B with ControlNet, LoRA, and adapter support, plus inpainting and asset-manag...

OctoAI Asset Library API

Endpoints for uploading, listing, and managing user assets — checkpoints, LoRAs, textual inversions, ControlNets, and VAE files — used by the image and text inference APIs. The ...

OctoAI Compute Service API

Container-deployment API ("Compute Service") that let customers build, register, and serve their own custom model containers on OctoAI's managed GPU fleet, with autoscaling and ...

OctoStack

OctoStack was OctoAI's self-contained generative-AI production stack for deploying open and customer-trained foundation models inside a customer's VPC or on-premises environment...

Features 6

Notable capabilities this provider offers.

OpenAI-Compatible Inference

OctoAI's text and image endpoints implemented OpenAI-style request and response shapes so existing OpenAI client code could be repointed by changing the base URL and API key.

Open-Source Model Catalog

A shared catalog hosted Llama 2/3, Mixtral, Mistral, Code Llama, SDXL, SSD-1B, Stable Diffusion 1.5, and Whisper behind per-token and per-image pricing without GPU provisioning.

Custom Model Compute Service

Customers could package their own model containers and have OctoAI autoscale them on a managed GPU fleet, billed by GPU-second.

Asset Library

Upload and manage LoRAs, checkpoints, textual inversions, VAEs, and ControlNets and apply them at request time to image and text-generation endpoints.

OctoStack Private Deployment

Self-contained inference stack that ran inside a customer VPC or on-premises across NVIDIA, AMD, and AWS Inferentia hardware with fine-tuning, batching, and asset management bui...

TVM-Based Model Optimization

OctoAI's optimization pipeline descended from Apache TVM (created by founder Tianqi Chen) and used ML-guided compilation to improve throughput and latency across heterogeneous a...

Security Posture 1

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

Octoai Domain Security

TLSv1.2 · DMARC

SECURITY

Use Cases 4

What developers build with this provider.

Repointing OpenAI Workloads to Open Models

Teams used the OpenAI-compatible endpoints to swap GPT-3.5/4 calls for Llama 2 / Mixtral at lower cost without rewriting client code.

Generative Image Pipelines

Product, marketing, and creative teams ran SDXL-based image generation with custom LoRAs and ControlNets for branded asset production.

Private Generative AI in Regulated Industries

Healthcare, financial-services, and government customers deployed OctoStack in-VPC or on-premises to keep prompts, completions, and model weights inside their security boundary.

Custom Fine-Tune Hosting

Teams fine-tuned open-weights models and served the resulting adapters and full-weight checkpoints behind OctoAI inference endpoints without managing GPU infrastructure.

Integrations 5

Pre-built integrations with other platforms and tools.

NVIDIA

Acquired OctoAI in September 2024 for a reported $165M; OctoAI team and technology absorbed into NVIDIA's AI inference stack and all OctoAI hosted services terminated on 31 Octo...

Apache TVM

OctoAI's optimization stack originated from Apache TVM, the deep-learning compiler founded by OctoAI co-founder Tianqi Chen at the University of Washington.

AWS

OctoAI was an AWS Partner; OctoStack ran on AWS GPU instances and AWS Inferentia accelerators, with sagemaker-examples published in the GitHub org.

Docker

OctoAI ran a DockerCon 2023 generative-AI workshop and published the dockercon23-octoai workshop repo.

LangChain & LlamaIndex

OctoAI's LLM endpoints shipped with documented LangChain and LlamaIndex providers, demonstrated in the octoml-llm-qa sample repo.

Resources

Build 2

SDKs, sample code, and the tooling you integrate with

Access & Security 1

Authentication, authorization, and security posture

Company 3

The organization behind the API

Other 4

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: octoai
name: OctoAI
description: OctoAI (formerly OctoML) was a Seattle-based AI inference platform founded in 2019 as a University of Washington
  Allen School spin-out of the Apache TVM project. The company originally focused on machine-learning model optimization and
  compilation across CPUs, GPUs, and accelerators, and in June 2023 launched a generative-AI SaaS inference platform that
  served open-source foundation models (Llama 2, Mixtral, SDXL, Stable Diffusion, Whisper) behind OpenAI-style REST APIs with
  Python and TypeScript SDKs. In January 2024 OctoML formally rebranded to OctoAI and in April 2024 unveiled OctoStack, a
  self-contained generative-AI production stack for deploying models inside customer VPC and on-premises environments across
  NVIDIA GPUs, AMD GPUs, and AWS Inferentia. NVIDIA acquired OctoAI in September 2024 for a reported $165M (down from a 2021
  peak valuation of ~$900M), with CEO Luis Ceze and key staff joining NVIDIA. OctoAI sent customers a "Wind down of OctoAI
  Services" notice and terminated all hosted endpoints, accounts, and SDK access on 31 October 2024. The octo.ai domain now
  301-redirects to nvidia.com and no public OctoAI product, API, dashboard, or developer portal remains; the technology has
  been absorbed into NVIDIA's internal AI inference stack and is not separately purchasable. This catalog entry is a historical
  record of the former OctoAI developer surface and the GitHub artifacts that remain.
type: Index
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/octoai.png
tags:
- Acquired
- Defunct
- AI Inference
- Generative AI
- LLM
- Foundation Models
- Model Optimization
- Apache TVM
- GPU
- Private AI
- NVIDIA
url: https://raw.githubusercontent.com/api-evangelist/octoai/refs/heads/main/apis.yml
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.20'
apis:
- aid: octoai:octoai-text-gen-api
  name: OctoAI Text Gen Inference API
  description: OpenAI-compatible chat and text-completion endpoints serving open-source LLMs including Llama 2, Llama 3, Mixtral
    8x7B, Mistral 7B, Code Llama, and customer fine-tunes. Supported streaming, function calling, JSON mode, and a shared
    model catalog. The API was reachable at https://text.octoai.run/v1 and shut down on 31 October 2024.
  humanURL: https://octo.ai
  baseURL: https://text.octoai.run/v1
  tags:
  - LLM
  - Chat
  - Completions
  - OpenAI Compatible
  - Defunct
  properties:
  - type: StatusPage
    url: https://octo.ai
    description: Domain now 301-redirects to nvidia.com; service terminated 31 October 2024.
- aid: octoai:octoai-image-gen-api
  name: OctoAI Image Gen Inference API
  description: Text-to-image and image-to-image inference for SDXL, SDXL-Lightning, Stable Diffusion 1.5, and SSD-1B with
    ControlNet, LoRA, and adapter support, plus inpainting and asset-management endpoints. The API was reachable at https://image.octoai.run
    and shut down on 31 October 2024.
  humanURL: https://octo.ai
  baseURL: https://image.octoai.run
  tags:
  - Images
  - Diffusion
  - SDXL
  - ControlNet
  - Defunct
  properties:
  - type: StatusPage
    url: https://octo.ai
    description: Domain now 301-redirects to nvidia.com; service terminated 31 October 2024.
- aid: octoai:octoai-asset-library-api
  name: OctoAI Asset Library API
  description: Endpoints for uploading, listing, and managing user assets — checkpoints, LoRAs, textual inversions, ControlNets,
    and VAE files — used by the image and text inference APIs. The API was reachable under api.octoai.cloud and shut down
    on 31 October 2024.
  humanURL: https://octo.ai
  baseURL: https://api.octoai.cloud
  tags:
  - Assets
  - LoRA
  - Checkpoints
  - Defunct
  properties:
  - type: StatusPage
    url: https://octo.ai
    description: Domain now 301-redirects to nvidia.com; service terminated 31 October 2024.
- aid: octoai:octoai-compute-service-api
  name: OctoAI Compute Service API
  description: Container-deployment API ("Compute Service") that let customers build, register, and serve their own custom
    model containers on OctoAI's managed GPU fleet, with autoscaling and OpenAI-style invocation. Shut down on 31 October
    2024.
  humanURL: https://octo.ai
  baseURL: https://api.octoai.cloud
  tags:
  - Compute
  - Containers
  - Custom Models
  - Deployment
  - Defunct
  properties:
  - type: StatusPage
    url: https://octo.ai
    description: Domain now 301-redirects to nvidia.com; service terminated 31 October 2024.
- aid: octoai:octostack
  name: OctoStack
  description: OctoStack was OctoAI's self-contained generative-AI production stack for deploying open and customer-trained
    foundation models inside a customer's VPC or on-premises environment. Announced April 2024, it supported NVIDIA GPUs,
    AMD GPUs, and AWS Inferentia, claimed 4x better GPU utilization, and bundled high-utilization batching, fine-tuning, and
    asset management. OctoStack is no longer offered as a standalone product after the NVIDIA acquisition; its technology
    has been absorbed into NVIDIA's inference stack.
  humanURL: https://octo.ai
  tags:
  - Private AI
  - On-Prem
  - VPC
  - Inference
  - Defunct
  properties:
  - type: StatusPage
    url: https://octo.ai
    description: Product wound down after NVIDIA acquisition; absorbed into NVIDIA's inference stack.
common:
- type: DomainSecurity
  url: security/octoai-domain-security.yml
- type: Website
  url: https://octo.ai
- type: GitHubOrganization
  url: https://github.com/octoml
- type: Acquirer
  url: https://www.nvidia.com
- type: AcquisitionAnnouncement
  url: https://www.geekwire.com/2024/chip-giant-nvidia-acquires-octoai-a-seattle-startup-that-helps-companies-run-ai-models/
- type: WindDownNotice
  url: https://www.sunsethq.com/blog/octoai-acquisition
- type: Crunchbase
  url: https://www.crunchbase.com/organization/octoml
- type: LinkedIn
  url: https://www.linkedin.com/company/octoml
- type: Features
  data:
  - name: OpenAI-Compatible Inference
    description: OctoAI's text and image endpoints implemented OpenAI-style request and response shapes so existing OpenAI
      client code could be repointed by changing the base URL and API key.
  - name: Open-Source Model Catalog
    description: A shared catalog hosted Llama 2/3, Mixtral, Mistral, Code Llama, SDXL, SSD-1B, Stable Diffusion 1.5, and
      Whisper behind per-token and per-image pricing without GPU provisioning.
  - name: Custom Model Compute Service
    description: Customers could package their own model containers and have OctoAI autoscale them on a managed GPU fleet,
      billed by GPU-second.
  - name: Asset Library
    description: Upload and manage LoRAs, checkpoints, textual inversions, VAEs, and ControlNets and apply them at request
      time to image and text-generation endpoints.
  - name: OctoStack Private Deployment
    description: Self-contained inference stack that ran inside a customer VPC or on-premises across NVIDIA, AMD, and AWS
      Inferentia hardware with fine-tuning, batching, and asset management built in.
  - name: TVM-Based Model Optimization
    description: OctoAI's optimization pipeline descended from Apache TVM (created by founder Tianqi Chen) and used ML-guided
      compilation to improve throughput and latency across heterogeneous accelerators.
- type: UseCases
  data:
  - name: Repointing OpenAI Workloads to Open Models
    description: Teams used the OpenAI-compatible endpoints to swap GPT-3.5/4 calls for Llama 2 / Mixtral at lower cost without
      rewriting client code.
  - name: Generative Image Pipelines
    description: Product, marketing, and creative teams ran SDXL-based image generation with custom LoRAs and ControlNets
      for branded asset production.
  - name: Private Generative AI in Regulated Industries
    description: Healthcare, financial-services, and government customers deployed OctoStack in-VPC or on-premises to keep
      prompts, completions, and model weights inside their security boundary.
  - name: Custom Fine-Tune Hosting
    description: Teams fine-tuned open-weights models and served the resulting adapters and full-weight checkpoints behind
      OctoAI inference endpoints without managing GPU infrastructure.
- type: Integrations
  data:
  - name: NVIDIA
    description: Acquired OctoAI in September 2024 for a reported $165M; OctoAI team and technology absorbed into NVIDIA's
      AI inference stack and all OctoAI hosted services terminated on 31 October 2024.
  - name: Apache TVM
    description: OctoAI's optimization stack originated from Apache TVM, the deep-learning compiler founded by OctoAI co-founder
      Tianqi Chen at the University of Washington.
  - name: AWS
    description: OctoAI was an AWS Partner; OctoStack ran on AWS GPU instances and AWS Inferentia accelerators, with sagemaker-examples
      published in the GitHub org.
  - name: Docker
    description: OctoAI ran a DockerCon 2023 generative-AI workshop and published the dockercon23-octoai workshop repo.
  - name: LangChain & LlamaIndex
    description: OctoAI's LLM endpoints shipped with documented LangChain and LlamaIndex providers, demonstrated in the octoml-llm-qa
      sample repo.
- type: SDKs
  data:
  - name: Python SDK
    description: octoai-python-sdk — Python client for the OctoAI inference, asset-library, and compute-service APIs. Package
      and repo were retired alongside the service shutdown on 31 October 2024.
  - name: TypeScript SDK
    description: octoai-typescript-sdk — TypeScript / Node.js client for the OctoAI inference and asset APIs. Retired alongside
      the service shutdown on 31 October 2024.
- type: SuccessorOrganization
  url: https://www.nvidia.com
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com