Sold by: Hanwei Software Technology
Deployed on AWS
A clean, out-of-the-box Luanti (formerly Minetest) voxel game server environment built on the latest Ubuntu 26.04 LTS. This vanilla image delivers a standard single-instance sandbox, perfectly optimized for private multiplayer hosting, voxel world modding, or quick gaming deployment.
Overview
Want to host a completely private, highly extensible voxel world without dealing with complex engine compiling or legacy server setup errors? This Amazon Machine Image (AMI) provides a pure, un-modified installation of the official Luanti (formerly known as Minetest) server running on a fresh, lightweight Ubuntu 26.04 LTS foundation.
Following our commitment to clean systems, there are no heavy third-party texture packs, pre-loaded custom worlds, or hidden server automation scripts included. You get a standard, vanilla configuration running the official package utilities, giving you full access to install your own subgames, manage server permissions, and configure Lua mods exactly as you want.
Whether you need a secure local sandbox to prototype custom game logic, host a lightweight survival server for friends, or test specific server synchronization behaviors, this template gets you ready in minutes.
Highlights
- Official Luanti server on Ubuntu 26.04.
- Minimal vanilla voxel game sandbox environment.
- Fully ready for custom Lua modding.
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 26.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covers your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Cost/hour |
|---|---|
t3.large Recommended | $0.10 |
c7a.4xlarge | $0.148 |
r6a.metal | $0.422 |
m5d.12xlarge | $0.308 |
r7a.12xlarge | $0.308 |
d3.2xlarge | $0.10 |
x2iedn.16xlarge | $0.308 |
r6in.8xlarge | $0.148 |
m7i.48xlarge | $0.422 |
m6i.16xlarge | $0.308 |
Vendor refund policy
no refunds
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Updated to the latest
Additional details
Usage instructions
SSH to the instance and login as the default user 'ubuntu' using the key specified at launch.
Luanti (Minetest) server is pre-installed via Flatpak under the root environment. Since it does not run as a background system service by default, follow these steps to switch to root, launch it manually, check logs, and manage saves:
Switch to Root User: Before running any game commands, switch to the root environment: sudo su
Launch the Server in the Background: Execute the following command to start the server safely. This ensures the game environment runs silently in the background even after you disconnect your SSH session: nohup flatpak run org.luanti.luanti --server --gameid minetest_game > /root/luanti_server.log 2>&1 & (After running, a process ID will appear on your screen. Press 'Enter' to return to your standard terminal prompt).
Verify and Check Server Logs: To monitor real-time server connections, player chats, or check for runtime bugs, view the active log file: tail -f /root/luanti_server.log Tip: To exit the log viewer safely without affecting the running game server, simply press 'Ctrl + C'.
Locate Game Worlds and Saves (Critical): Your default game save files, maps, and world configurations are strictly isolated under the root Flatpak data directory. You can locate them here: cd /root/.var/app/org.luanti.luanti/.minetest/worlds/world/
Safely Shut Down the Server: When performing server maintenance or safely saving game progress before an instance reboot, execute this command to stop the background process gracefully: pkill -f org.luanti.luanti
Note: By default, the Luanti game server listens on UDP port 30000. Ensure this port is correctly opened in your AWS Security Group.
Additional information on connecting via SSH may be found at: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html
Support
Vendor support
For product technical support, please contact prosupport@hanweie.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.