Thunder Compute

Overview

tnr is the official command-line interface for Thunder Compute, a high-performance cloud GPU platform built for AI/ML prototyping and experimentation. Using a proprietary orchestration engine, Thunder Compute delivers fast provisioning, low-latency execution, and low-cost GPU compute designed for developer workflows.

The tnr CLI supports:

• Provisioning and managing GPU instances
• Configuring compute resources and instance specifications
• Secure SSH access and session management
• File transfer capabilities (SCP upload and download)
• Port forwarding for accessing remote services locally
• Automated update checks and version management
• Cross-platform support for macOS, Linux, and Windows

Documentation

• CLI Reference: https://www.thundercompute.com/docs/cli-reference
• API Reference: https://www.thundercompute.com/docs/api-reference
• Get Started: https://www.thundercompute.com/docs/quickstart
• Troubleshooting: https://www.thundercompute.com/docs/troubleshooting

Installation

Install tnr using one of the supported methods below. You may also download installers and binaries directly from the Latest Release page.

macOS

Download the .pkg installer for your platform from the Latest Release page (tnr_*_darwin_arm64.pkg for Apple Silicon, tnr_*_darwin_amd64.pkg for Intel).

Homebrew:

brew tap Thunder-Compute/tnr
brew install tnr

Linux

Download .tar.gz, .deb, .rpm, or .apk packages from the Latest Release page.

Install script (recommended):

curl -fsSL https://raw.githubusercontent.com/Thunder-Compute/thunder-cli/main/scripts/install.sh | bash

Windows

Download the .msi installer for your platform from the Latest Release page.

Scoop:

scoop bucket add tnr https://github.com/Thunder-Compute/scoop-bucket
scoop install tnr

Winget:

winget install Thunder.tnr

Build from Source

git clone https://github.com/Thunder-Compute/thunder-cli.git
cd thunder-cli
go build -o tnr
./tnr

Quick Start

tnr login           # Authenticate with Thunder Compute
tnr create          # Create a GPU instance
tnr status          # View instance status
tnr connect 0       # Connect to your instance

# File transfers
tnr scp myfile.py 0:/home/ubuntu/
tnr scp 0:/home/ubuntu/results.txt ./

tnr delete 0        # Delete instance

tnr login opens a browser and returns to a loopback callback on 127.0.0.1. On a headless or remote machine where that callback cannot be reached, create a named API token in Console Settings and run tnr login --token <named_api_token> instead.

Local and staging testing (monorepo)

For a local API, run make cli-local ARGS="login", make cli-local ARGS="status", or make cli-local ARGS="logout --revoke" from the Thundernetes repository root. This builds cli/dist/tnr-local and targets http://localhost:8443, storing credentials in cli/dist/local-home separately from staging and production. Start your local API first; the runner does not start it. Browser login also needs the API's OAuth configuration and a running authorization page, normally the local Console at http://localhost:3000. For arguments requiring shell quoting, use bash cli/scripts/tnr-local.sh <arguments>.

From the Thundernetes repository root, run make cli-staging ARGS="login", make cli-staging ARGS="status", or make cli-staging ARGS="logout --revoke". Each invocation builds the current branch through Bazel and runs cli/dist/tnr-staging against the URL supplied through TNR_STAGING_API_URL. The monorepo Makefile supplies the default; the CLI scripts contain no staging endpoint. Credentials are saved separately in cli/dist/staging-home, an inherited TNR_API_TOKEN is ignored, and self-updates are disabled. These generated files are gitignored. For arguments requiring shell quoting, export TNR_STAGING_API_URL and run bash cli/scripts/tnr-staging.sh <arguments> directly.

Browser login requires the staging API's /v1/auth/cli/oauth-config endpoint and staging Connected App configuration. A 404 indicates the route is unavailable; a 503 can indicate missing OAuth configuration. Local builds do not deploy or configure the API.

License

This project is licensed under the MIT License. See LICENSE for details.