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Deploy Project VMs with Massed Compute MCP on Cloud GPU (2026 Guide)

Deploy optimized project VMs on Massed Compute with automated provisioning, security hardening, and multi-VM connectivity. This guide walks through the complete onboarding flow using Massed Compute MCP for intelligent infrastructure deployment.

massed-compute mcp vm-deployment project-onboarding gpu-cloud automation
MCP Recipe Available

This deployment process exists as a machine-readable recipe in the Massed Compute MCP. Connect an AI agent to automatically provision, secure, and optimize your project VMs with intelligent SKU selection and multi-VM orchestration.

Starting a new project on Massed Compute shouldn’t require manual VM configuration, security hardening, and optimization tweaks. This guide automates the complete onboarding flow: intelligent SKU selection based on your project goals, automated provisioning via MCP, security passes, kernel optimization, and optional multi-VM connectivity.

The process captures your project requirements, provisions the right VM shapes, applies security and performance optimizations, and hands off clean infrastructure ready for your specific stack deployment.

Tech Stack
Component Purpose Required
Massed Compute MCP VM provisioning and management Yes
Ubuntu 24.04 Base OS for all instances Yes
UFW Firewall configuration Yes
SSH Key Auth Secure remote access Yes
Multi-VM Networking Inter-instance connectivity Optional
System Requirements
Resource Minimum Recommended
vCPU 2 cores 4+ cores
RAM 4 GB 8+ GB
Storage 20 GB 50+ GB
OS Ubuntu 24.04 Ubuntu 24.04
Network Public IP Public + Private IPs

Massed Compute VM Pricing

Pricing data fetched July 20, 2026

Live Pricing: No matching SKUs found for the minimum requirements (2 vCPU, 4GB RAM, Ubuntu 24.04). Check current pricing for available configurations.

Step-by-Step Deployment

1

Define Project Goals

Start by clearly defining what you’re building. The MCP resolver uses this information to select the optimal VM configuration.

Examples of project goals:

  • ComfyUI diffusion workstation with GPU acceleration
  • Three CPU nodes for API load testing
  • Single development server for web application
  • Multi-GPU cluster for machine learning training
2

Configure MCP Authentication

Set up your Massed Compute API credentials in your MCP environment. The agent needs access to the instances_launch and instances_list flows.

# Verify MCP connection
export MC_TOKEN="your-api-token"
# MCP tools will use this for authentication
3

Provision VMs

The MCP resolver analyzes your project goals and provisions the appropriate VM(s). It first checks for existing running instances that match your requirements before launching new ones.

The process includes:

  • SKU selection based on workload requirements
  • Instance naming with project keywords
  • SSH key attachment for secure access
  • Status polling until instances are running
4

Security Hardening

Apply security best practices to each provisioned VM:

# Update system packages
sudo apt-get update && sudo DEBIAN_FRONTEND=noninteractive apt-get upgrade -y

# Configure UFW firewall
sudo ufw allow OpenSSH
sudo ufw --force enable

# Disable password authentication
sudo sed -i 's/#PasswordAuthentication yes/PasswordAuthentication no/' /etc/ssh/sshd_config
sudo systemctl restart ssh
5

System Optimization

Apply kernel and network tuning for optimal performance:

# Optimize network settings
echo 'net.core.rmem_max = 16777216' | sudo tee -a /etc/sysctl.conf
echo 'net.core.wmem_max = 16777216' | sudo tee -a /etc/sysctl.conf
echo 'net.ipv4.tcp_congestion_control = bbr' | sudo tee -a /etc/sysctl.conf

# Apply changes
sudo sysctl -p
6

Multi-VM Connectivity (Optional)

When your project requires multiple connected VMs, the system configures private networking and firewall rules between instances:

# Configure inter-VM communication
# (Automated by MCP based on cluster manifest)
sudo ufw allow from PEER_PRIVATE_IP to any port YOUR_APP_PORT
7

Verification and Handoff

The system performs health checks and creates handoff documentation for any subsequent stack-specific installations:

  • Connectivity verification
  • Security configuration validation
  • Performance baseline capture
  • Handoff JSON generation for child recipes

Troubleshooting

SSH Connection Issues

If you can’t connect to a newly provisioned VM:

# Remove old host key
ssh-keygen -R YOUR_VM_IP

# Verify instance is running
# Check status via MCP instances_get

Wrong VM Configuration

If the MCP resolver selected an inappropriate SKU:

  • Re-run the project goal resolver with more specific requirements
  • Terminate non-protected instances that don’t match
  • Relaunch with corrected configuration

Firewall Lockout

If UFW blocks your SSH access:

  • Use the Massed Compute dashboard console access
  • Allow your IP address on port 22 before re-enabling deny rules
  • Test firewall changes in a separate SSH session first

Multi-VM Communication Failures

If VMs can’t communicate with each other:

  • Verify UFW allows traffic from peer private IPs
  • Check that application ports are open between instances
  • Re-run cluster configuration scripts if needed

Skip All of This: Deploy with an AI Agent

This entire deployment process exists as a tested, machine-readable recipe in the Massed Compute MCP. Instead of running commands manually, connect an AI agent and automate the full workflow.

{
  "mcpServers": {
    "massed-compute": {
      "type": "http",
      "url": "https://vm.massedcompute.com/api/mcp",
      "headers": { "Authorization": "Bearer MC_TOKEN" }
    }
  }
}

Then say:

Agent Prompt: “I want to start a new project on Massed Compute. Set up VMs for [describe your project: GPU workstation, API cluster, development environment, etc.]. Include security hardening and optimization. Connect multiple VMs if needed for my use case.”

The agent matches your request against the recipe catalog, provisions the right VM configuration, runs the security and optimization steps above, and reports back with SSH details and next steps. If any step fails, deployment stops and you get detailed error output for troubleshooting.

Recipe last tested: June 10, 2026

Ready to Deploy Your Project?

Get intelligent VM provisioning, automated security hardening, and optimized performance configurations with Massed Compute MCP integration.

Think it. Build it. Scale it.

Quick Setup Reference

For experienced users, here’s the condensed workflow:

  1. Define goals: Specify project type, VM count, and connectivity needs
  2. MCP provision: instances_launch with resolved SKU and naming
  3. Security pass: Update packages, configure UFW, disable password auth
  4. Optimize: Apply kernel tuning and capture health baseline
  5. Connect VMs: Configure private networking if multi-VM setup
  6. Verify: Test connectivity, security, and performance
  7. Handoff: Generate documentation for stack-specific deployment

Total deployment time: ~45 minutes for complex multi-VM setups, ~15 minutes for single instances.

Frequently Asked Questions

01What project types work best with this onboarding process?

This process works for any project requiring Ubuntu 24.04 VMs: GPU workstations (ComfyUI, Stable Diffusion), CPU clusters (API servers, databases), development environments, machine learning training setups, and multi-node applications. The MCP resolver automatically selects appropriate hardware based on your description.

02Can I connect multiple VMs after initial deployment?

Yes, the onboarding process includes multi-VM orchestration when requested. It configures private networking, firewall rules between instances, and creates a cluster manifest for easy management. You can also run the connectivity configuration separately on existing VMs.

03How does the MCP resolver choose VM configurations?

The resolver analyzes your project description to determine CPU vs GPU requirements, memory needs, storage requirements, and whether you need single or multiple VMs. It matches against available Massed Compute SKUs and selects the most cost-effective configuration that meets your performance needs.

04What happens if my project requirements change?

You can re-run the resolver with updated project goals. The system will terminate non-protected instances that no longer match your needs and provision new VMs with the correct configuration. Existing data and configurations are preserved where possible.

05Is the security hardening production-ready?

The security pass applies industry best practices: system updates, UFW firewall with deny-by-default, SSH key-only authentication, and disabled password login. For production workloads, consider additional measures like fail2ban, custom firewall rules, and regular security audits based on your specific requirements.