Cloud VPS 6 GB
Below the template's 8 GB RAM minimum; choose 16 GB for analysis.
$24.99per month
- 6 GB RAM
- 4 vCPU cores
- 100 GB NVMe SSD
- 30 TB
- Unlimited
AudioMuse-AI hosting on xCloud runs a self-hosted music analysis and playlist generator beside the library you already have. Deploy AudioMuse-AI 3.6.3 and xCloud runs the pinned CPU image with PostgreSQL and a background worker, connects it to your Jellyfin, Emby, Navidrome, Plex or Lyrion server, creates an admin login and publishes it over HTTPS on your own domain in just a few minutes.
Self-hosted AudioMuse-AI is an open-source tool that, per upstream, uses sonic analysis to rediscover forgotten songs in your music library and generate groove-aware playlists, without relying on metadata or external APIs. After an initial analysis it offers clustering, instant playlists from a text prompt, a music map, similar-song playlists and song paths. It is a self-hosted alternative to a streaming service's AI DJ, and it is licensed AGPL-3.0.
On xCloud the template runs the AudioMuse-AI 3.6.3 CPU image, pinned by digest, with a queue worker and PostgreSQL 15. It stores analysis results and plugin data only: your music stays on the media server you connect. The server type and credentials are collected at install, login is on from first boot, and analysis uses about 3 GB of memory per worker.
Self-hosting AudioMuse-AI normally means a web container, a background worker, a database, a domain and a certificate before it can see a single track. This is the same result without assembling any of it.
Step 01
Create your xCloud account and pick AudioMuse-AI from the OneClick catalog, then choose a domain.
Step 02
Fill in the Media Server section: server type (Jellyfin, Emby, Navidrome, Plex or Lyrion), its URL reachable from the server, and the matching user and token or password. xCloud deploys the pinned image, the analysis worker and PostgreSQL, then publishes it over HTTPS.
Step 03
Save the admin password from the protected installation credentials, sign in as admin, then open Analysis and Clustering to start your first analysis of the library.
AudioMuse-AI runs in full here — the same sonic analysis and playlist tooling as any hosted offering, on infrastructure you control.
Analyses tracks by how they sound and groups similar songs into clustered playlists, rather than relying on metadata tags alone.
Build playlists from a text prompt, from a song you like, or as a path between two songs you choose.
Explore the library on a 2D music map, and search by text, lyrics, or a short recording clip.
Works with Jellyfin, Emby, Navidrome, Plex or Lyrion, entered once at install — your music files stay where they already are.
Every page needs the generated admin credentials, so the first-run setup screen is never exposed on your public URL.
The analysis catalogue, library connection and installed plugins persist on named volumes and survive an xCloud Restart.
Managed hosting for AudioMuse-AI, so the parts that keep it online are not your problem.
A listener with a large library starts an analysis and gets playlists grouped by how songs actually sound, finding forgotten tracks that metadata-based sorting never surfaces.
Someone types the mood they want, such as high-tempo, low-energy music, and AudioMuse-AI builds an instant playlist from their own library, ready to export back to the media server.
A collector browses a 2D genre-based map of their collection and follows song paths between two tracks to build a listening journey through music they already own.
An owner of a Jellyfin or Navidrome library adds similar-song playlists and search by mood, instrument or lyrics theme, without moving any music files off their media server.
Dedicated Cloud VPS sizes, pre-configured for AudioMuse-AI hosting. Pick the one that fits, and resize any time.
Below the template's 8 GB RAM minimum; choose 16 GB for analysis.
$24.99per month
Clears the template's 8 GB RAM minimum for analysis runs.
$59.99per month
Heavy analysis runs or AudioMuse-AI alongside other apps.
$84.99per month
Every size is a dedicated Cloud VPS we provision, patch, monitor and restore. Billed monthly with no lock-in — delete the server and the unused balance comes back to your account. AudioMuse-AI itself is free under the AGPL-3.0 licence.
Connect any VPS — DigitalOcean, Vultr, Linode, AWS, Hetzner or bare metal — and deploy AudioMuse-AI on it through the same panel, for a per-server management fee instead of a Cloud VPS rental.
Start your journey without cost.
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Your rate with 2–5 servers connected.
$5per server / month
The same platform, discounted at 6–10 servers.
$4per server / month
The same platform, discounted at 11+ servers.
$3per server / month
Priced per connected server, so your rate adjusts automatically as you add or remove servers. You pay your own provider for the server itself.
AudioMuse-AI on xCloud runs on a dedicated Cloud VPS that we provision, patch, monitor and restore. Deploy faster. Own the server. Stay in control.
Deploy faster using an xCloud Managed Server built with optimized stacks and high-speed SSDs.
Protect your infrastructure with a free SSL certificate and more advanced security features at no additional cost.
From Server creation to application deployment, everything can be managed from our intuitive control panel.
See why agencies, developers, startups, and growing businesses choose xCloud to power their projects.
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Yes. Upstream says it integrates with major self-hosted music servers, including Jellyfin, Navidrome, Emby, Lyrion and Plex. You choose the server type and enter its URL and credentials at install, and the server must be reachable from this one, not localhost.
Yes, and upstream supports Docker Compose, Podman and Kubernetes. This template does it for you: the AudioMuse-AI 3.6.3 CPU image and PostgreSQL 15, pinned by digest, with a worker and HTTPS in front. It is AudioMuse-AI Docker hosting without writing the compose file.
Plan on 8192 MB of RAM, 4 CPU cores and 20 GB of disk, as upstream states, so the 16 GB Cloud VPS is the plan sold for AudioMuse-AI cloud hosting. The app idles near 0.5 GB, yet each analysis worker takes roughly 3 GB while it runs.
No. This template runs the CPU image with models baked in, not the NVIDIA GPU image. On amd64 hosts it needs AVX2, and analysis is CPU-heavy, so expect large libraries to take time and memory during the initial run.
Yes. AudioMuse-AI is licensed AGPL-3.0, so there is no licence fee for the software itself. You pay xCloud for the dedicated Cloud VPS that runs it, and nothing here adds a paid AudioMuse-AI tier or a licence key.
Upstream says it analyses your audio locally without relying on metadata or external APIs. Optional AI naming through Gemini, OpenAI or Ollama is separate and needs keys you set yourself. Music files stay on your media server; this server stores analysis results and plugin data.
Login is enabled on every route from first boot. Open your HTTPS URL and sign in as admin with the generated password in your credentials panel, then start an analysis. Upstream's unauthenticated Setup Wizard is never exposed, because the media server is collected at install.
Take a backup of postgres_data and the two plugin volumes, plugins_flask and plugins_worker, with the stack stopped for snapshots. The database holds the catalogue, users, JWT secret and wizard configuration. Protect backups, since they contain credentials and library metadata.
Updates are not automatic: each install runs AudioMuse-AI 3.6.3 pinned by digest. To move to a newer release, back up postgres_data and both plugin volumes, then adopt a newer xCloud template version once one is published. Do not edit the image tag or digest yourself.
Not through the environment. The media server settings only seed the first start. Change the server later inside the app under Administration, Setup Wizard; editing the environment and redeploying does not change it, and the same goes for the admin password seed.
Yes. There is no lock-in — cancel any time. Hosting is billed monthly and charged for what you actually use, so when you delete the server the unused balance is refunded to your account, less up to 10% in payment-processing fees.
Connect your first server in minutes. No plan you have to grow into.