> ## Documentation Index
> Fetch the complete documentation index at: https://docs.comput3.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Launch GPU Introduction

> Deploy and manage GPU instances on the Comput3 Network

Comput3 Network provides on-demand GPU instances for high-performance computing, machine learning training, and AI inference workloads.

## Overview

Launch GPU instances with:

<CardGroup cols={2}>
  <Card title="Instant Deployment" icon="rocket">
    Deploy GPU instances in seconds with pre-configured environments.
  </Card>

  <Card title="Flexible Scaling" icon="expand-arrows-alt">
    Scale from single GPUs to multi-node clusters based on your needs.
  </Card>

  <Card title="Cost Optimization" icon="dollar-sign">
    Pay only for what you use with transparent per-minute billing.
  </Card>

  <Card title="Enterprise Security" icon="shield-check">
    Isolated environments with enterprise-grade security and compliance.
  </Card>
</CardGroup>

## Available GPU Types

<Tabs>
  <Tab title="NVIDIA B200">
    **Best for**: Next-generation AI training and inference

    * **Memory**: 192GB HBM3e
    * **Performance**: 4000+ TFLOPS (BF16)
    * **Use Cases**: Large language models, multi-modal AI
    * **Pricing**: \$8.00/hour
  </Tab>

  <Tab title="NVIDIA H200">
    **Best for**: High-performance AI inference and training

    * **Memory**: 141GB HBM3e
    * **Performance**: 3000+ TFLOPS (BF16)
    * **Use Cases**: LLM training, scientific computing
    * **Pricing**: \$6.50/hour
  </Tab>

  <Tab title="NVIDIA H100">
    **Best for**: Large language model training, high-performance inference

    * **Memory**: 80GB HBM3
    * **Performance**: 2000 TFLOPS (BF16)
    * **Use Cases**: LLM training, scientific computing
    * **Pricing**: \$4.50/hour
  </Tab>

  <Tab title="NVIDIA A100">
    **Best for**: ML training, multi-model inference

    * **Memory**: 40GB/80GB HBM2e
    * **Performance**: 1248 TFLOPS (BF16)
    * **Use Cases**: Deep learning, data analytics
    * **Pricing**: $2.50/hour (40GB), $3.50/hour (80GB)
  </Tab>

  <Tab title="NVIDIA L40S">
    **Best for**: AI inference, graphics workloads

    * **Memory**: 48GB GDDR6
    * **Performance**: 362 TFLOPS (FP16)
    * **Use Cases**: AI inference, 3D rendering
    * **Pricing**: \$2.00/hour
  </Tab>

  <Tab title="RTX 4090 48GB">
    **Best for**: Development, creative workloads

    * **Memory**: 48GB GDDR6X
    * **Performance**: 165 TFLOPS (BF16)
    * **Use Cases**: Game development, 3D rendering
    * **Pricing**: \$1.20/hour
  </Tab>
</Tabs>

## Getting Started

<Steps>
  <Step title="Choose Deployment Option">
    Select one of the 4 pre-configured deployment options that matches your workload requirements.

    <Info>
      Visit [launch.comput3.ai](https://launch.comput3.ai) to access the deployment dashboard.
    </Info>
  </Step>

  <Step title="Select GPU Type">
    Choose the appropriate GPU type for your selected deployment option:

    * **Media Fast**: RTX 4090 48GB or L40S for media processing
    * **Ollama Coder**: A100 40GB or H100 for coding models
    * **Ollama Fast**: RTX 4090 48GB or A100 40GB for quick responses
    * **Ollama Large**: H100, H200, or B200 for large models
  </Step>

  <Step title="Launch Instance">
    Deploy your instance with a single click or API call. Instances are ready in under 60 seconds.
  </Step>

  <Step title="Connect and Work">
    Access your instance through SSH, Jupyter, or web-based terminals.
  </Step>
</Steps>

## Deployment Options

### Dashboard Interface

Deploy instances through the intuitive web dashboard at [launch.comput3.ai](https://launch.comput3.ai):

<Frame>
  <img src="https://mintlify.s3.us-west-1.amazonaws.com/comput3-e7edbb9d/images/gpu-launch-interface.png" alt="Comput3 GPU launch interface showing instance configuration options" />
</Frame>

### Quick Launch

All deployment options are available through the dashboard interface at [launch.comput3.ai](https://launch.comput3.ai). Simply:

1. **Select your deployment option** from the 4 available choices
2. **Choose your GPU type** based on your requirements
3. **Click Launch** to deploy your instance
4. **Access your instance** through the provided connection details

<Info>
  Instances are typically ready in under 60 seconds and come with pre-configured environments optimized for your selected use case.
</Info>

## Deployment Options

Choose from 4 pre-configured deployment options optimized for different use cases:

<AccordionGroup>
  <Accordion title="Launch Media Fast">
    **Optimized for media processing with CSM and Whisper capabilities**

    **Includes**:

    * CSM (Computer Speech and Music) models
    * Whisper for speech recognition
    * Media processing libraries
    * Audio/video analysis tools

    **Best for**: Speech recognition, audio processing, media analysis
  </Accordion>

  <Accordion title="Launch Ollama Coder">
    **The most advanced open-source coding models**

    **Includes**:

    * Code Llama models
    * DeepSeek Coder
    * Qwen Coder
    * Advanced coding assistants

    **Best for**: Code generation, debugging, software development
  </Accordion>

  <Accordion title="Launch Ollama Fast">
    **Optimized for quick responses with smaller models**

    **Includes**:

    * Fast inference models
    * Optimized for speed
    * Lightweight language models
    * Quick response capabilities

    **Best for**: Real-time chat, quick queries, rapid prototyping
  </Accordion>

  <Accordion title="Launch Ollama Large">
    **Full-featured setup for running larger language models**

    **Includes**:

    * Large language models (70B+ parameters)
    * Advanced reasoning capabilities
    * Multi-modal models
    * Enterprise-grade performance

    **Best for**: Complex reasoning, research, advanced AI applications
  </Accordion>
</AccordionGroup>

## Use Cases by Deployment Option

### Launch Media Fast

* **Speech Recognition**: Transcribe audio files and live speech
* **Audio Processing**: Music analysis, sound effects, audio enhancement
* **Video Analysis**: Content analysis, scene detection, object tracking
* **Media Conversion**: Format conversion, compression, optimization

### Launch Ollama Coder

* **Code Generation**: Generate code from natural language descriptions
* **Code Review**: Automated code analysis and improvement suggestions
* **Debugging**: Identify and fix bugs in existing codebases
* **Documentation**: Generate technical documentation and comments

### Launch Ollama Fast

* **Real-time Chat**: Fast conversational AI for customer support
* **Quick Queries**: Rapid information retrieval and summarization
* **Prototyping**: Fast iteration on AI-powered features
* **Lightweight Applications**: Mobile and edge AI applications

### Launch Ollama Large

* **Complex Reasoning**: Advanced problem-solving and analysis
* **Research**: Scientific research and data analysis
* **Enterprise AI**: Large-scale business intelligence and automation
* **Multi-modal AI**: Image, text, and audio processing combined

## Pricing Model

<Info>
  All pricing is per-hour and includes:

  * GPU compute time
  * CPU cores (varies by instance)
  * RAM (varies by instance)
  * 100GB SSD storage
  * Network bandwidth (1Gbps)
</Info>

### Cost Optimization Tips

<CardGroup cols={2}>
  <Card title="Right-sizing" icon="balance-scale">
    Choose the smallest instance that meets your performance requirements.
  </Card>

  <Card title="Spot Instances" icon="clock">
    Use spot instances for fault-tolerant workloads at up to 70% savings.
  </Card>

  <Card title="Auto-shutdown" icon="power-off">
    Configure automatic shutdown to avoid charges when instances are idle.
  </Card>

  <Card title="Reserved Capacity" icon="calendar">
    Reserve instances for long-running workloads to get volume discounts.
  </Card>
</CardGroup>

## Security and Compliance

### Network Security

* **Private Networks**: Isolated VPC for each deployment
* **Firewall Rules**: Configurable security groups
* **VPN Access**: Site-to-site VPN connectivity
* **SSL/TLS**: End-to-end encryption for all communications

### Data Protection

* **Encryption at Rest**: AES-256 encryption for storage
* **Encryption in Transit**: TLS 1.3 for all data transfer
* **Access Controls**: Role-based access management
* **Audit Logging**: Comprehensive activity logging

### Compliance

* **SOC 2 Type II**: Annual compliance audits
* **GDPR**: European data protection compliance
* **HIPAA**: Healthcare data processing available
* **ISO 27001**: Information security management

## Next Steps

<CardGroup cols={3}>
  <Card title="Instance Types" icon="server" href="/launch-gpu/instance-types">
    Detailed specifications and performance benchmarks for all GPU types.
  </Card>

  <Card title="Management" icon="cogs" href="/launch-gpu/management">
    Learn how to monitor, scale, and manage your GPU instances.
  </Card>

  <Card title="API Reference" icon="code" href="/api">
    Complete API documentation for programmatic instance management.
  </Card>
</CardGroup>