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Verda CLI

The Verda CLI is a command-line tool for managing your Verda Cloud infrastructure. It supports both interactive wizards for quick tasks and flag-based commands for scripting and automation.

Install

curl -sSL https://raw.githubusercontent.com/verda-cloud/verda-cli/main/scripts/install.sh | sh

Install to a custom directory:

VERDA_INSTALL_DIR=~/.local/bin curl -sSL https://raw.githubusercontent.com/verda-cloud/verda-cli/main/scripts/install.sh | sh

brew install verda-cloud/tap/verda-cli

scoop bucket add verda https://github.com/verda-cloud/homebrew-tap
scoop install verda-cli

Download .deb, .rpm, or .apk packages from GitHub Releases:

# Debian / Ubuntu
sudo dpkg -i verda_VERSION_linux_amd64.deb

# RHEL / Fedora
sudo rpm -i verda_VERSION_linux_amd64.rpm

# Alpine
sudo apk add --allow-untrusted verda_VERSION_linux_amd64.apk

Download the binary for your platform from GitHub Releases:

Platform File
macOS (Apple Silicon) verda_VERSION_darwin_arm64.tar.gz
macOS (Intel) verda_VERSION_darwin_amd64.tar.gz
Linux (x86_64) verda_VERSION_linux_amd64.tar.gz
Linux (ARM64) verda_VERSION_linux_arm64.tar.gz
Windows (x86_64) verda_VERSION_windows_amd64.zip
Windows (ARM64) verda_VERSION_windows_arm64.zip 
tar xzf verda_*.tar.gz
sudo mv verda /usr/local/bin/

go install github.com/verda-cloud/verda-cli/cmd/verda@latest

After installing, verify and update:

verda version            # verify installation
verda update             # update to latest
verda update --version v1.0.0  # specific version

Quick start

1. Configure credentials

verda auth login

2. Explore available resources

verda locations                        # datacenter locations
verda instance-types --gpu             # GPU instance types with pricing
verda availability --location FIN-01   # what's in stock

3. Deploy a VM

# Interactive wizard
verda vm create

# Non-interactive
verda vm create \
  --kind gpu \
  --instance-type 1V100.6V \
  --location FIN-01 \
  --os ubuntu-24.04-cuda-13.0-open-docker \
  --os-volume-size 100 \
  --hostname gpu-runner

4. Connect

verda ssh gpu-runner

Features

  • Interactive and non-interactive modes — guided wizards for quick tasks, flags for scripts and CI/CD
  • Multiple output formats — table (human-readable), JSON, and YAML
  • Multi-profile authentication — switch between accounts and environments
  • Cost visibility — estimate costs before provisioning, track burn rate in real time
  • AI agent integration — MCP server and skills for Claude Code, Cursor, and other AI tools
  • Built-in diagnostics — verda doctor checks credentials, connectivity, and configuration

What you can manage with the CLI

  • Compute
    • GPU and CPU instances (create, list, describe, start, shutdown, hibernate, delete)
    • SSH directly into running instances
  • Storage
    • Block volumes (create, resize, clone, detach, delete)
    • Trash management with 96-hour recovery window
  • Resources
    • SSH keys for instance access
    • Startup scripts for automated provisioning
    • Reusable templates for instance configurations
  • Billing
    • Cost estimation before provisioning
    • Running cost and burn rate tracking
    • Account balance and runway forecasting

Docs

Getting Started

Instances

Templates

Storage

SSH Keys & Startup Scripts

Cost & Status

Skills

MCP Server