Saturn Cloud's AI Token Factory Comes to vCluster Stacks, Turning AI Cloud GPUs Into Per-Token Revenue


NEW YORK, Oct. 14, 2026 /PRNewswire/ -- Saturn Cloud, the AI token factory platform, and vCluster Labs, the platform operators use to build and run their own AI cloud like a hyperscaler, today announced a partnership to help AI clouds sell managed, per-token inference on their own GPUs.
As a first step, Saturn Cloud is coming to vCluster Stack, a single, reusable, pre-validated deployment template that installs the Saturn Cloud platform inside an isolated tenant cluster. The partnership gives AI cloud providers a repeatable way to launch a managed inference service, where each customer gets their own isolated environment and per-token endpoints on the operator's GPUs. This follows Saturn Cloud's integrations with NVIDIA DSX OS and NVIDIA Run:ai, which give operators on NVIDIA infrastructure the same managed platform without building it themselves.
"The neoclouds we talk to want to sell inference without reinventing how they isolate each customer," said Sebastian Metti, founder and CEO of Saturn Cloud. "With Saturn Cloud as a vCluster Stack, our token factory, fine-tuning, and per-token billing deploy straight into a tenant the operator already trusts. One deployment instead of a custom integration for every customer."
Saturn Cloud Sells the Tokens, vCluster Isolates Each Customer, Stacks Repeats at Scale
Saturn Cloud turns GPUs into per-token inference customers can call. Operators get per-token endpoints, fine-tuning, and usage billing in a self-service portal under their own brand. Inference is the first Stack, and the same platform also runs dedicated GPU capacity, managed fine-tuning, and distributed training on the same fleet.
vCluster gives every customer an isolated cluster of its own. Each customer gets its own tenant cluster with a virtualized control plane. With Private Nodes, each tenant also runs on dedicated nodes, with network, storage, and compute isolated per tenant.
Stacks packages the whole environment so it deploys the same way every time. The Saturn Cloud Stack describes what to install, in what order, and what must be healthy before the next step. Each deployment becomes its own managed environment, with its own health status, logs, and clean removal.
One Deployment for Launching Managed Inference
Consider an AI cloud that wants to offer enterprise customers private inference. With vCluster and Saturn Cloud, the workflow is straightforward. The operator creates the customer's tenant cluster on Private Nodes, running on GPU servers they already own. They deploy the Saturn Cloud stack into it, and the customer can start calling per-token endpoints. Onboarding the next customer follows the same automated process, consistent every time.
A Faster Route to Revenue on GPUs AI Clouds Already Own
AI cloud providers can now define the environment once, then deploy per customer so inference sells alongside GPU capacity and Kubernetes, Slurm, and Ray clusters on the same fleet. Customers get a private inference service with endpoints ready to call.
"AI clouds are moving from renting GPUs to selling services, because the margins are in the services, not the servers," said Lukas Gentele, co-founder and CEO of vCluster Labs. "The providers that win will launch a new service for every customer without a new build. vCluster Stacks and Saturn Cloud make per-token inference one of those services: packaged once and sold to every customer, each in an isolated tenant cluster of its own."
The First Saturn Cloud Stack Is Available Now
The first version of the Saturn Cloud Stack, built by vCluster engineers from Saturn Cloud's Kubernetes installation, is available today. Operators can adapt it to their own environments.
Learn more about Stacks in vCluster Platform 4.12, or contact Saturn Cloud or vCluster Labs to plan a managed inference offering.
About Saturn Cloud
Saturn Cloud is the AI token factory platform for neoclouds, AI Factory operators, and enterprises. It turns GPU infrastructure into managed services for fine-tuning, model serving, and per-token billing, with standard inference endpoints, distributed training, and managed environments. Enterprise security and governance are built in, across public, private, and on-premises environments. Learn more at saturncloud.io.
About vCluster Labs
vCluster Labs is the platform operators use to build and run their own AI cloud, like a hyperscaler. vCluster turns raw GPUs into cluster products they can sell, from bare metal provisioning through managed Kubernetes, Slurm, and inference clusters, with tenant isolation at the infrastructure layer. The result is more margin per GPU, less dependence on a few big customers, and new managed services live in days instead of months. Trusted by fast-growing AI cloud providers including Nebius, Groq, Firmus, and Corvex, and by enterprises including Adobe, Samsung, and Deloitte, across 100K+ GPUs. Learn more at vcluster.com.
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