Qubrid AI website screenshot

Qubrid AI

Qubrid AI is a cloud platform that provides GPU-accelerated infrastructure and AI services for enterprise developers. Their developer platform offers OpenAI-compatible inference endpoints, GPU compute provisioning, model fine-tuning, and retrieval-augmented generation capabilities, all running on NVIDIA GPU infrastructure.

Qubrid AI publishes 13 APIs on the APIs.io network, including Chat Completions API, Datasets API, Documents API, and 10 more. Tagged areas include Artificial Intelligence, Cloud Computing, GPU, Inference, and Large Language Models.

The Qubrid AI catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

Qubrid AI’s developer surface includes authentication, developer portal, documentation, and 8 more developer resources.

🌐 Visit website 📡 Source on GitHub
52.7/100 developing ▬ flat Agent 38/100 agent ready Full breakdown ↓
scored 2026-07-28 · rubric v0.6
AccessPaidSelf serve
13 APIs
Artificial IntelligenceCloud ComputingGPUInferenceLarge Language ModelsMachine LearningNVIDIAServerless

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-07-28 · rubric v0.6
Composite quality — 52.7/100 · developing
Contract Quality 18.7 / 25
Developer Ergonomics 5.7 / 20
Commercial Clarity 10.5 / 20
Operational Transparency 3.4 / 13
Governance 7.0 / 12
Discoverability 7.4 / 10
Agent readiness — 38/100 · agent ready
Machine-Readable Contract 18 / 18
Agentic Access Contract 10 / 10
MCP Server 0 / 12
Machine-Readable Auth 10 / 10
Idempotency 0 / 9
Stable Error Semantics 8 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 7 / 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/qubrid-ai: 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 13

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

Qubrid AI Chat Completions API

Generate chat-based completions using open-source large language models hosted on NVIDIA GPU infrastructure. Compatible with the OpenAI chat completions request and response for...

Qubrid AI Datasets API

Upload and manage CSV training datasets used for fine-tuning models. Datasets must be in CSV format with columns appropriate for the selected task type (QA or non-QA).

Qubrid AI Documents API

Upload, list, and manage documents within a knowledge base. Supported formats include PDF, text, CSV, and other common document types. Documents are automatically processed, chu...

Qubrid AI Embeddings API

Generate vector embeddings from text input using embedding models hosted on the Qubrid AI platform, suitable for semantic search, clustering, and retrieval-augmented generation ...

Qubrid AI Fine-Tuned Models API

List and manage fine-tuned model artifacts produced by completed fine-tuning jobs. Fine-tuned models can be deployed for inference on the Qubrid AI platform.

Qubrid AI Fine-Tuning Jobs API

Create, monitor, and manage fine-tuning jobs that customize pre-deployed text generation and code generation models using uploaded training datasets on GPU infrastructure.

Qubrid AI GPU Catalog API

Browse available GPU types, configurations, and pricing tiers including on-demand, weekly, monthly, and reserved options for NVIDIA, AMD, and Intel accelerators.

Qubrid AI Instances API

Provision, manage, start, stop, and terminate GPU compute instances on the Qubrid AI platform. Instances include NVIDIA H100, H200, and B200 accelerators with configurable memor...

Qubrid AI Knowledge Bases API

Create and manage knowledge bases that store enterprise and departmental data for retrieval-augmented generation. Each knowledge base contains ingested documents that are chunke...

Qubrid AI Models API

List and retrieve details about the open-source AI models available for inference on the Qubrid AI platform, including text generation, code generation, vision-language, and ima...

Qubrid AI RAG Queries API

Query a knowledge base using natural language with retrieval-augmented generation. The API retrieves relevant document chunks from the knowledge base and uses them as context fo...

Qubrid AI SSH Keys API

Manage SSH keys for secure access to GPU compute instances. Users get full root access to their instances for installing custom libraries, running scripts, and managing workloads.

Qubrid AI Templates API

List and deploy pre-configured AI and ML environment templates including PyTorch, TensorFlow, ComfyUI, n8n, and Langflow, all optimized to run on Qubrid GPU instances.

Scroll for all 13

Open Collections 4

Open, tool-agnostic API collections (OpenAPI-derived and Bruno).

Qubrid AI Compute API

OPEN COLLECTION

Qubrid AI Fine-Tuning API

OPEN COLLECTION

Qubrid AI Inference API

OPEN COLLECTION

Qubrid AI RAG API

OPEN COLLECTION

Pricing Plans 1

Published pricing tiers and plan structures.

Qubrid Ai Plans Pricing

4 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Qubrid Ai Rate Limits

2 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Qubrid Ai Finops

FINOPS

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Qubrid Ai Context

0 classes · 8 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

Qubrid AI API Rules

6 rules · 5 warnings 1 info

SPECTRAL

JSON Schema 4

Standalone JSON Schema definitions for this provider's data models.

Qubrid AI Compute Entities

0 properties

JSON SCHEMA

Qubrid AI Fine-Tuning Entities

0 properties

JSON SCHEMA

Qubrid AI Inference Entities

0 properties

JSON SCHEMA

Qubrid AI RAG Entities

0 properties

JSON SCHEMA

Security Posture 2

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

Qubrid Ai Authentication

http · 1 scheme

SECURITY

Qubrid Ai Domain Security

TLSv1.2 · DMARC

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Qubrid Ai Agentic Access

33 operations · 18 acting · 2 human-in-the-loop

33 operations · 18 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

Portal
Portal
 Login
Login

Documentation 1

Reference material describing how the API behaves

Documentation
Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess
AgenticAccess
 LlmsText
LlmsText

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

JSONLD
JSONLD

Build 1

SDKs, sample code, and the tooling you integrate with

GitHubOrganization
GitHubOrganization

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity
 Authentication
Authentication

Company 2

The organization behind the API

LinkedIn
LinkedIn
 Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: qubrid-ai
name: Qubrid AI
description: Qubrid AI is a cloud platform that provides GPU-accelerated infrastructure and AI services for enterprise developers.
  Their developer platform offers OpenAI-compatible inference endpoints, GPU compute provisioning, model fine-tuning, and
  retrieval-augmented generation capabilities, all running on NVIDIA GPU infrastructure.
kind: contract
accessModel:
  pricing: paid
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  label: Paid · Self-serve signup
  confidence: high
  source:
  - plans
  - authentication
  generated: '2026-07-22'
  method: derived
position: Consuming
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/qubrid-ai.png
tags:
- Artificial Intelligence
- Cloud Computing
- GPU
- Inference
- Large Language Models
- Machine Learning
- NVIDIA
- Serverless
url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/apis.yml
created: '2026-03-24'
modified: '2026-05-19'
specificationVersion: '0.19'
apis:
- aid: qubrid-ai:qubrid-ai-chat-completions-api
  name: Qubrid AI Chat Completions API
  description: Generate chat-based completions using open-source large language models hosted on NVIDIA GPU infrastructure.
    Compatible with the OpenAI chat completions request and response format.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Chat Completions
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-chat-completions-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-datasets-api
  name: Qubrid AI Datasets API
  description: Upload and manage CSV training datasets used for fine-tuning models. Datasets must be in CSV format with columns
    appropriate for the selected task type (QA or non-QA).
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Datasets
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-datasets-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-documents-api
  name: Qubrid AI Documents API
  description: Upload, list, and manage documents within a knowledge base. Supported formats include PDF, text, CSV, and other
    common document types. Documents are automatically processed, chunked, and embedded upon upload.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Documents
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-documents-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-embeddings-api
  name: Qubrid AI Embeddings API
  description: Generate vector embeddings from text input using embedding models hosted on the Qubrid AI platform, suitable
    for semantic search, clustering, and retrieval-augmented generation workflows.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Embeddings
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-embeddings-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-fine-tuned-models-api
  name: Qubrid AI Fine-Tuned Models API
  description: List and manage fine-tuned model artifacts produced by completed fine-tuning jobs. Fine-tuned models can be
    deployed for inference on the Qubrid AI platform.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Fine-Tuned Models
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-fine-tuned-models-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-fine-tuning-jobs-api
  name: Qubrid AI Fine-Tuning Jobs API
  description: Create, monitor, and manage fine-tuning jobs that customize pre-deployed text generation and code generation
    models using uploaded training datasets on GPU infrastructure.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Fine-Tuning Jobs
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-fine-tuning-jobs-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-gpu-catalog-api
  name: Qubrid AI GPU Catalog API
  description: Browse available GPU types, configurations, and pricing tiers including on-demand, weekly, monthly, and reserved
    options for NVIDIA, AMD, and Intel accelerators.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - GPU Catalog
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-gpu-catalog-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-instances-api
  name: Qubrid AI Instances API
  description: Provision, manage, start, stop, and terminate GPU compute instances on the Qubrid AI platform. Instances include
    NVIDIA H100, H200, and B200 accelerators with configurable memory, storage, and networking.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Instances
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-instances-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-knowledge-bases-api
  name: Qubrid AI Knowledge Bases API
  description: Create and manage knowledge bases that store enterprise and departmental data for retrieval-augmented generation.
    Each knowledge base contains ingested documents that are chunked, embedded, and stored in a vector database for semantic
    search during inference.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Knowledge Bases
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-knowledge-bases-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-models-api
  name: Qubrid AI Models API
  description: List and retrieve details about the open-source AI models available for inference on the Qubrid AI platform,
    including text generation, code generation, vision-language, and image generation models.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Models
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-models-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-rag-queries-api
  name: Qubrid AI RAG Queries API
  description: Query a knowledge base using natural language with retrieval-augmented generation. The API retrieves relevant
    document chunks from the knowledge base and uses them as context for generating accurate, grounded responses through a
    large language model.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - RAG Queries
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-rag-queries-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-ssh-keys-api
  name: Qubrid AI SSH Keys API
  description: Manage SSH keys for secure access to GPU compute instances. Users get full root access to their instances for
    installing custom libraries, running scripts, and managing workloads.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - SSH Keys
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-ssh-keys-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
- aid: qubrid-ai:qubrid-ai-templates-api
  name: Qubrid AI Templates API
  description: List and deploy pre-configured AI and ML environment templates including PyTorch, TensorFlow, ComfyUI, n8n,
    and Langflow, all optimized to run on Qubrid GPU instances.
  humanURL: https://docs.platform.qubrid.com
  baseURL: https://platform.qubrid.com/api/v1
  tags:
  - Templates
  properties:
  - type: OpenAPI
    url: openapi/qubrid-ai-templates-api-openapi.yml
  - type: Documentation
    url: https://docs.platform.qubrid.com
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-inference-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-compute-schema.json
  - type: Documentation
    url: https://docs.platform.qubrid.com/Fine%20Tuning
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-fine-tuning-schema.json
  - type: JSONSchema
    url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-schema/qubrid-ai-rag-schema.json
common:
- type: AgenticAccess
  url: agentic-access/qubrid-ai-agentic-access.yml
- type: DomainSecurity
  url: security/qubrid-ai-domain-security.yml
- type: Authentication
  url: authentication/qubrid-ai-authentication.yml
- type: GitHubOrganization
  url: https://github.com/QubridAI-Inc
- type: LinkedIn
  url: https://www.linkedin.com/company/qubrid
- type: Portal
  url: https://platform.qubrid.com
- type: Documentation
  url: https://docs.platform.qubrid.com
- type: Website
  url: https://qubrid.com
- type: Login
  url: https://platform.qubrid.com/login
- type: JSONLD
  url: https://raw.githubusercontent.com/api-evangelist/qubrid-ai/refs/heads/main/json-ld/qubrid-ai-context.jsonld
- type: Integrations
  url: https://qubrid.com/partners
- type: LlmsText
  url: https://docs.platform.qubrid.com/llms.txt
integrations:
- name: Qubrid AI
- name: Scribble
- name: NVIDIA
- name: SuperMCR
- name: Hewlett Packard Enterprise
- name: Dell
- name: Lenovo
- name: AWS
- name: Oracle
- name: GCP
- name: Alibaba
- name: Intel
- name: AMD
- name: Cisco
- name: LinkedIn
- name: Reddit
- name: GitHub
- name: Discord
- name: YouTube
maintainers:
- FN: API Evangelist
  email: info@apievangelist.com