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

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Overview

Launch GPU instances with:

Instant Deployment

Deploy GPU instances in seconds with pre-configured environments.

Flexible Scaling

Scale from single GPUs to multi-node clusters based on your needs.

Cost Optimization

Pay only for what you use with transparent per-minute billing.

Enterprise Security

Isolated environments with enterprise-grade security and compliance.

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Available GPU Types

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

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Getting Started

1

Choose Deployment Option

Select one of the 4 pre-configured deployment options that matches your workload requirements.
Visit launch.comput3.ai to access the deployment dashboard.
2

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
3

Launch Instance

Deploy your instance with a single click or API call. Instances are ready in under 60 seconds.
4

Connect and Work

Access your instance through SSH, Jupyter, or web-based terminals.

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Deployment Options

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Dashboard Interface

Deploy instances through the intuitive web dashboard at launch.comput3.ai:
Comput3 GPU launch interface showing instance configuration options

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Quick Launch

All deployment options are available through the dashboard interface at 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
Instances are typically ready in under 60 seconds and come with pre-configured environments optimized for your selected use case.

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Deployment Options

Choose from 4 pre-configured deployment options optimized for different use cases:
Optimized for media processing with CSM and Whisper capabilitiesIncludes:
  • 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
The most advanced open-source coding modelsIncludes:
  • Code Llama models
  • DeepSeek Coder
  • Qwen Coder
  • Advanced coding assistants
Best for: Code generation, debugging, software development
Optimized for quick responses with smaller modelsIncludes:
  • Fast inference models
  • Optimized for speed
  • Lightweight language models
  • Quick response capabilities
Best for: Real-time chat, quick queries, rapid prototyping
Full-featured setup for running larger language modelsIncludes:
  • Large language models (70B+ parameters)
  • Advanced reasoning capabilities
  • Multi-modal models
  • Enterprise-grade performance
Best for: Complex reasoning, research, advanced AI applications

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Use Cases by Deployment Option

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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

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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

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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

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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

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Pricing Model

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)

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Cost Optimization Tips

Right-sizing

Choose the smallest instance that meets your performance requirements.

Spot Instances

Use spot instances for fault-tolerant workloads at up to 70% savings.

Auto-shutdown

Configure automatic shutdown to avoid charges when instances are idle.

Reserved Capacity

Reserve instances for long-running workloads to get volume discounts.

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Security and Compliance

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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

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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

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Compliance

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

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Next Steps

Instance Types

Detailed specifications and performance benchmarks for all GPU types.

Management

Learn how to monitor, scale, and manage your GPU instances.

API Reference

Complete API documentation for programmatic instance management.