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Deploy ELIZAOS on Comput3 Network to start building and running multi-agent AI systems with distributed GPU computing power.

Deployment Options

Managed ELIZAOS

Recommended for most users
  • Pre-configured ELIZAOS environment
  • Automatic updates and maintenance
  • Integrated monitoring and logging
  • Enterprise support included

Self-Managed

For advanced customization
  • Full control over ELIZAOS configuration
  • Custom agent development environment
  • Direct GPU instance management
  • Flexible resource allocation

Quick Start: Managed ELIZAOS

1

Launch ELIZAOS Instance

Deploy a managed ELIZAOS environment from your Comput3 dashboard.
Best for: Getting started, small projects
  • GPU: RTX 4090 48GB or A100 40GB
  • RAM: 16GB
  • Storage: 100GB SSD
  • Cost: ~$1.20-2.50/hour
2

Access ELIZAOS Interface

Connect to your ELIZAOS deployment through the web interface.
The managed deployment automatically configures networking and security settings.
3

Create Your First Agent

Use the ELIZAOS interface to create and configure your first AI agent.
ELIZAOS agent creation interface showing configuration options
4

Deploy and Monitor

Deploy your agent and monitor its performance through the dashboard.
Your agent will start running immediately and appear in the active agents list.

Self-Managed Installation

Prerequisites

  • GPU instance with ELIZAOS template or manual setup capability
  • Basic knowledge of Docker and container orchestration
  • Understanding of AI agent concepts and workflows

Installation Process

1

Launch GPU Instance

Deploy a GPU instance suitable for ELIZAOS workloads.Recommended Specifications:
  • Minimum: RTX 4090 48GB with 16GB RAM
  • Recommended: A100 40GB with 32GB RAM
  • Optimal: A100 80GB, H100, H200, or B200 with 64GB+ RAM
2

Install ELIZAOS

Install ELIZAOS on your GPU instance.
3

Configure Comput3 Integration

Connect ELIZAOS to Comput3 Network services.
4

Verify Installation

Test that ELIZAOS is running correctly and connected to Comput3.

Configuration

Environment Configuration

Essential ELIZAOS settings
GPU resource allocation settings
Networking and communication settings

Agent Configuration Templates

Monitoring and Management

ELIZAOS Dashboard

ELIZAOS management dashboard showing active agents, resource usage, and system metrics
Dashboard Features:
  • Active Agents: Real-time status of all running agents
  • Resource Usage: GPU, CPU, and memory utilization
  • Performance Metrics: Agent efficiency and response times
  • Cost Tracking: Real-time cost monitoring and projections

Agent Lifecycle Management

Understanding agent lifecycle states
  • Created: Agent configured but not deployed
  • Starting: Agent initialization in progress
  • Running: Agent actively processing tasks
  • Paused: Agent temporarily suspended
  • Stopped: Agent terminated but configuration preserved
  • Failed: Agent encountered unrecoverable error

Troubleshooting

Common installation problemsGPU Driver Issues:
Docker Issues:
Agents failing to start or crashingCommon Causes:
  • Insufficient GPU memory allocation
  • Model loading failures
  • Configuration syntax errors
  • Network connectivity issues
Debugging Steps:
Slow agent response or high resource usageOptimization Strategies:
  • Adjust agent resource allocations
  • Optimize model parameters (temperature, max_tokens)
  • Implement request batching
  • Use agent specialization to reduce model switching
  • Monitor and tune GPU memory usage

Security Configuration

Access Controls

Authentication

Secure access to ELIZAOS interface
  • JWT-based authentication
  • OAuth integration support
  • Multi-factor authentication
  • Session management and timeouts

Authorization

Role-based access control
  • Admin, developer, and viewer roles
  • Agent-specific permissions
  • Resource access controls
  • Audit logging for all actions

Network Security

Secure communications
Network access controls
Secure agent execution environment
  • Process isolation between agents
  • Network namespace separation
  • Resource quota enforcement
  • Secure inter-agent communication

Performance Optimization

Resource Allocation

Maximize GPU utilization

Scaling Strategies

Scale up individual instances
  • Upgrade to more powerful GPU instances
  • Increase RAM and storage allocation
  • Optimize agent resource distribution
  • Monitor performance metrics for scaling decisions
Scale out across multiple instances
Automatic resource adjustment
  • Agent-based scaling triggers
  • Resource utilization monitoring
  • Cost-aware scaling decisions
  • Predictive scaling based on usage patterns

Backup and Recovery

Data Backup

1

Agent Configurations

Backup agent definitions and configurations
2

Agent State

Backup agent memory and state
3

System Data

Backup logs, metrics, and system data

Disaster Recovery

Prepare for system failures
  • Document recovery procedures
  • Test backup restoration regularly
  • Maintain off-site backup copies
  • Plan for different failure scenarios
Rapid system restoration

Integration with Comput3 Services

API Integration

Next Steps

Agent Integration

Learn how to integrate ELIZAOS agents with your existing systems.

GPU Instances

Explore GPU instance options optimized for ELIZAOS workloads.

MCP Integration

Connect external data sources and tools to your ELIZAOS agents.