> ## Documentation Index
> Fetch the complete documentation index at: https://docs.platform.qubrid.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Welcome to Qubrid Platform, the Full Stack for AI.

Qubrid provides a unified environment where developers, researchers, and enterprises can build, deploy, manage, and scale AI/ML workloads with ease.

Unlike traditional cloud platforms, which are often generic and complex, Qubrid is purpose-built for AI - offering GPU-powered compute, AI-specific templates, managed agents, RAG workflows, and enterprise-ready features like usage tracking, team collaboration, and on-premise deployment options.

This documentation will help you understand the platform, its core features, and how to effectively use it to accelerate your AI journey.

<Card title="Start here" icon="rocket" href="https://platform.qubrid.com/" horizontal>
  Go to Qubrid Platform and create an account.
</Card>

Whether you are a **solo developer testing models**, a **researcher experimenting with new architectures**, or an **enterprise team scaling production AI workloads**, Qubrid provides the tools to make it simple, scalable, and cost-efficient.

## AI Model Studio

Accelerate Development, Fine-tuning, and Deployment of Generative AI & LLM Models.

<Columns cols={2}>
  <Card title="Frictionless Model Building" icon="microchip" href="https://platform.qubrid.com/model-studio/hugging-face-models">
    Craft your own custom models with a user-friendly, code-optional interface.
  </Card>

  <Card title="Seamless Deployment" icon="server" href="https://platform.qubrid.com/model-studio/nvidia-inferencing">
    Integrate trained models into your applications with a few clicks, accelerating the path to market.
  </Card>

  <Card title="Pre-trained Models" icon="computer" href="https://platform.qubrid.com/model-studio/inferencing">
    Jumpstart your project with a library of industry-leading models for tasks like image recognition, natural language processing, and more.
  </Card>

  <Card title="Advanced Training & Tuning" icon="bolt-lightning" href="https://platform.qubrid.com/model-studio/model-tuning">
    Fine-tune pre-trained models or your own creations with robust optimization tools and access to high-performance compute resources.
  </Card>
</Columns>

## AI Compute Platform

Flexible Infrastructure Options - Workload Orchestration Across GPU, CPU, NeoCloud

<Columns cols={2}>
  <Card title="Diverse Compute Instances" icon="binary" href="">
    Choose from a range of on-demand compute instances for general development.
  </Card>

  <Card title="Optimized Inference GPUs" icon="computer" href="">
    Deploy models with lightning-fast performance using optimized inference GPUs.
  </Card>

  <Card title="Specialized GPUs" icon="hard-drive" href="">
    Access cutting-edge NVIDIA, AMD & Intel GPUs designed for training & tuning LLMs.
  </Card>

  <Card title="Quantum Simulations" icon="drone" href="">
    Conduct quantum simulations on GPUs & access real quantum computing resources (FCFS).
  </Card>
</Columns>

## Why Qubrid?

AI workloads are resource-intensive, fragmented, and expensive to manage on generic cloud platforms. Qubrid solves these challenges by offering:

1. **AI-First Design**\
   Everything in Qubrid is built for AI/ML - from GPU scheduling to optimized inferencing pipelines.

2. **Speed to Market**\
   With pre-configured templates, RAG workflows, and one-click agents, you can go from idea to deployment in hours, not weeks.

3. **Scalability**\
   Run workloads of any size - from small experiments to large distributed GPU clusters - without manual configuration.

4. **Cost Efficiency**\
   Pay only for what you use, with transparent credits and usage dashboards.

5. **Collaboration**\
   Manage organizations, teams, roles, and shared credits, so multiple users can work seamlessly.

6. **Flexibility**\
   Deploy in the Qubrid NeoCloud or bring it on-prem for enterprises needing private/hybrid setups.

## Who is Qubrid For?

* **Developers**\
  Quickly prototype, test, and deploy AI/ML models without worrying about GPU setup.

* **Researchers**\
  Run experiments at scale, fine-tune open-source models, and validate results with optimized pipelines.

* **Startups**\
  Bring AI-powered products to market faster with prebuilt workflows and cost-efficient compute.

* **Enterprises**\
  Enable teams to collaborate, manage resources, and deploy production AI securely at scale.

## Key Features at a Glance

<Columns cols={3}>
  <Card title="GPU Infrastructure" icon="database" href="https://platform.qubrid.com/create-ai-compute">
    • Compute Scaling\
    • Instance Clusters\
    • Credit Billing
  </Card>

  <Card title="AI Templates" icon="book-open" href="https://platform.qubrid.com/create-ai-compute">
    • Prebuilt Models\
    • Fast Tuning\
    • One-Click Deploy
  </Card>

  <Card title="RAG Workflows" icon="robot" href="https://platform.qubrid.com/model-studio/rag">
    • Smart Agents\
    • Knowledge Retrieval\
    • Context Apps
  </Card>
</Columns>

<Columns cols={3}>
  <Card title="User Dashboard" icon="user" href="https://platform.qubrid.com/dashboard">
    • Resource Visibility\
    • Usage Tracking\
    • Team Access
  </Card>

  <Card title="App Integrations" icon="link">
    • Hugging Face\
    • API SDKs\
    • Event Webhooks
  </Card>

  <Card title="Data Security" icon="shield">
    • Role Control\
    • Data Encryption\
    • Compliance Ready
  </Card>
</Columns>