> ## Documentation Index
> Fetch the complete documentation index at: https://internal.nolano.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Installation & Setup

> Choose between Nolano Cloud or self-hosted installation for your foundation model research

# Installation & Setup

Get started with Nolano.AI by choosing the deployment option that best fits your research needs and infrastructure requirements.

<CardGroup cols={2}>
  <Card title="Nolano Cloud" icon="cloud" color="#935095" href="#nolano-cloud">
    Managed cloud platform - start training immediately with zero setup
  </Card>

  <Card title="Self-Hosted Installation" icon="server" color="#B47BB6" href="#self-hosted-installation">
    Install on your own infrastructure for maximum control and customization
  </Card>
</CardGroup>

***

## Nolano Cloud (Coming Soon)

The fastest way to get started with foundation model research. Our managed cloud platform provides instant access to high-performance compute with zero infrastructure management.

### Features

<AccordionGroup>
  <Accordion title="Instant Access">
    * No installation required
    * Pre-configured environments with all dependencies
    * Immediate access to GPU clusters
    * Automatic scaling based on workload
  </Accordion>

  <Accordion title="Managed Infrastructure">
    * High-performance A100 and H100 GPU clusters
    * Distributed training across multiple nodes
    * Automatic fault tolerance and recovery
    * Built-in monitoring and logging
  </Accordion>

  <Accordion title="Collaborative Features">
    * Team workspaces and shared experiments
    * Version control for models and datasets
    * Experiment tracking and comparison
    * Secure data handling and privacy
  </Accordion>
</AccordionGroup>

### Getting Started with Nolano Cloud (Coming Soon)

<Steps>
  <Step title="Sign Up">
    Create your account at [nolano.ai](https://nolano.ai) and verify your email.
  </Step>

  <Step title="Choose Your Plan">
    Select a plan that fits your research needs:

    <CardGroup cols={3}>
      <Card title="Lab" icon="users" color="#B47BB6">
        **\$99/month**

        * 100 GPU hours/month
        * Multi-node training
        * Priority support
      </Card>

      <Card title="Enterprise" icon="building" color="#6F3A71">
        **Custom pricing**

        * Unlimited usage
        * Dedicated clusters
        * Custom SLAs
      </Card>
    </CardGroup>
  </Step>

  <Step title="Access Your Workspace">
    Once your account is set up, the Nolano team will provide you with access credentials and setup instructions for your workspace. You'll receive:

    * CLI installation package and authentication tokens
    * Workspace setup guide tailored to your research needs

    <Note>
      **Getting Access**: Reach out to the Nolano team at [hello@nolano.ai](mailto:hello@nolano.ai) to request access to Nolano Cloud and receive your personalized setup instructions.
    </Note>
  </Step>

  <Step title="Upload Your Data">
    The Nolano team will guide you through the data upload process, which includes:

    * Secure data transfer protocols
    * Data validation and preprocessing options
    * Integration with your existing data pipelines

    <Tip>
      The team will provide you with the appropriate tools and access methods based on your data size and security requirements.
    </Tip>
  </Step>
</Steps>

<Tip>
  **New to foundation models?** Our cloud platform includes guided tutorials and example datasets to help you get started quickly.
</Tip>

***

## Self-Hosted Installation

Install Nolano.AI on your own infrastructure for complete control over your research environment, data privacy, and compute resources.

### System Requirements

<Tabs>
  <Tab title="Minimum Requirements">
    * **OS**: Ubuntu 20.04+ or CentOS 8+
    * **Python**: 3.9 or higher
    * **GPU**: CUDA-compatible GPU with 16GB+ VRAM
    * **RAM**: 32GB system memory
    * **Storage**: 500GB available disk space
    * **Network**: High-bandwidth internet for model downloads
  </Tab>

  <Tab title="Recommended Setup">
    * **OS**: Ubuntu 22.04 LTS
    * **Python**: 3.11
    * **GPU**: A100 (80GB) or H100 for large models
    * **RAM**: 128GB+ system memory
    * **Storage**: 2TB+ NVMe SSD
    * **Network**: 10Gbps+ for multi-node setups
  </Tab>

  <Tab title="Multi-Node Cluster">
    * **Nodes**: 2-8 GPU nodes
    * **Interconnect**: InfiniBand or 100Gbps Ethernet
    * **Shared Storage**: NFS or distributed filesystem
    * **Job Scheduler**: Slurm (optional but recommended)
  </Tab>
</Tabs>

### Installation Steps

<Steps>
  <Step title="Prerequisites">
    Install system dependencies and CUDA toolkit:

    ```bash theme={null}
    # Update system packages
    sudo apt update && sudo apt upgrade -y

    # Install essential build tools
    sudo apt install -y build-essential git curl wget

    # Install CUDA Toolkit (12.1 recommended)
    wget https://developer.download.nvidia.com/compute/cuda/12.1.0/local_installers/cuda_12.1.0_530.30.02_linux.run
    sudo sh cuda_12.1.0_530.30.02_linux.run

    # Add CUDA to PATH
    echo 'export PATH=/usr/local/cuda/bin:$PATH' >> ~/.bashrc
    echo 'export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH' >> ~/.bashrc
    source ~/.bashrc
    ```
  </Step>

  <Step title="Python Environment Setup">
    Create and configure a Python environment:

    ```bash theme={null}
    # Install Python 3.11 and pip
    sudo apt install -y python3.11 python3.11-pip python3.11-venv

    # Create virtual environment
    python3.11 -m venv nolano-env
    source nolano-env/bin/activate

    # Upgrade pip and install essential packages
    pip install --upgrade pip setuptools wheel
    ```
  </Step>

  <Step title="Get Nolano.AI Access">
    Contact the Nolano team to receive the installation package and setup instructions:

    <Card title="Request Self-Hosted Access" icon="envelope" color="#935095">
      Email [hello@nolano.ai](mailto:hello@nolano.ai) with:

      * Your research institution/organization
      * Intended use case and research goals
      * Hardware specifications and cluster details
      * Timeline for your project
    </Card>

    The team will provide you with:

    * Custom installation package tailored to your environment
    * Detailed setup guide for your specific hardware configuration
    * License keys and authentication credentials
    * Direct support during installation process

    <Warning>
      Nolano.AI is currently in private beta. Access is granted on a case-by-case basis to qualified research institutions and organizations.
    </Warning>
  </Step>

  <Step title="Installation & Verification">
    The Nolano team will guide you through the installation process and help verify that everything is working correctly. This includes:

    * Running system diagnostics to ensure hardware compatibility
    * Configuring distributed training settings for your cluster
    * Testing GPU detection and CUDA integration
    * Validating network connectivity for multi-node setups

    <Note>
      The team provides hands-on support during installation to ensure optimal performance for your specific research environment.
    </Note>
  </Step>

  <Step title="Configuration">
    The Nolano team will help you configure the system for your specific environment:

    <AccordionGroup>
      <Accordion title="Compute Configuration">
        * GPU count and memory allocation
        * Mixed precision training settings
        * Gradient checkpointing optimization
        * Hardware-specific performance tuning
      </Accordion>

      <Accordion title="Storage Setup">
        * Cache and checkpoint directory configuration
        * Data storage path optimization
        * Shared storage for multi-node clusters
        * Backup and recovery settings
      </Accordion>

      <Accordion title="Distributed Training">
        * Multi-node communication setup
        * Network backend configuration (NCCL/Gloo)
        * Fault tolerance and recovery settings
        * Load balancing across nodes
      </Accordion>
    </AccordionGroup>

    <Tip>
      The team provides pre-configured templates based on your hardware setup and research requirements.
    </Tip>
  </Step>
</Steps>

### Multi-Node Setup

For distributed training across multiple machines, the Nolano team provides comprehensive cluster setup support:

<Accordion title="Cluster Configuration Services">
  The team will help you with:

  * **Network Architecture Planning**: Design optimal interconnect topology for your cluster
  * **Shared Storage Setup**: Configure high-performance distributed filesystems (NFS, Lustre, or custom solutions)
  * **Node Communication**: Establish secure and efficient inter-node communication protocols
  * **Load Balancing**: Implement dynamic workload distribution across available resources
  * **Fault Tolerance**: Set up automatic failover and recovery mechanisms
  * **Performance Optimization**: Fine-tune settings for your specific hardware configuration

  <Note>
    Multi-node deployments require careful planning and configuration. The Nolano team ensures optimal performance and reliability for your distributed training environment.
  </Note>
</Accordion>

### Docker Installation

For containerized deployments, the Nolano team provides:

<CardGroup cols={2}>
  <Card title="Pre-built Containers" icon="box" color="#935095">
    Ready-to-use Docker images with Nolano.AI pre-installed and optimized for different GPU architectures
  </Card>

  <Card title="Custom Containerization" icon="docker" color="#B47BB6">
    Tailored Docker configurations for your specific research environment and deployment requirements
  </Card>
</CardGroup>

<Accordion title="Container Support Services">
  * **Optimized Base Images**: Pre-configured containers with all dependencies
  * **GPU Integration**: CUDA and cuDNN optimization for containerized environments
  * **Orchestration Support**: Kubernetes and Docker Swarm deployment configurations
  * **Volume Management**: Efficient data and model storage strategies
  * **Security Configuration**: Container security best practices and access controls

  <Note>
    Contact [hello@nolano.ai](mailto:hello@nolano.ai) to request access to pre-built containers or custom containerization support.
  </Note>
</Accordion>

### Support & Troubleshooting

The Nolano team provides comprehensive support for installation and ongoing maintenance:

<Card title="Get Support" icon="headset" color="#935095">
  For any installation or technical issues, contact the Nolano team:

  * **Email**: [hello@nolano.ai](mailto:hello@nolano.ai)
  * **Emergency Support**: Available for production deployments
  * **Response Time**: Within a single call to the founders phone numbers
</Card>

## Model Setup

After installation, you're ready to start your foundation model research:

<CardGroup cols={3}>
  <Card title="Data Preparation" icon="database" href="/data-preparation" color="#B47BB6">
    Learn how to prepare and tokenize your datasets
  </Card>

  <Card title="Model Configuration" icon="cube" href="/model-configuration" color="#6F3A71">
    Explore different model architectures and settings
  </Card>

  <Card title="Training Configuration" icon="rocket" href="/training" color="#935095">
    See more on configuring your model
  </Card>
</CardGroup>

<Note>
  **Need Help?** Reach out to [support](mailto:hello@nolano.ai) for assistance with installation and setup.
</Note>