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Version: 2.0

Choose Your Platform

Smart Studio offers two deployment paths. Choose the one that fits your use case:

  • BYO-GPU (Model Service Platform) — Deploy open-source models on your own GPUs for internal use or integration into an existing platform.
  • BYO-Key (API Router Platform) — Resell Model APIs through a white-labelled User Console and Admin Console.

Both paths share the same activation workflow: choose a billing model, install the agent, verify your machines, and deploy the platform.

SMART STUDIO DOCS 2.0

Start with the outcome you need

Choose one maintained path. Each path connects the prerequisite, Console action, successful result, recovery guidance, and next step.

New in 2.0Choose your platform: BYO-GPU to deploy models on your own hardware, or BYO-Key to resell Model APIs.Read the changelog →
MODEL SERVICE PLATFORM

Activate a GPU cluster

Result: Your cluster is Activated, its expected machines are visible, and its GPU capacity is ready for model deployment.

Start with requirements
  1. 1Check requirementsConfirm supported infrastructure, network access, and operator permissions.Prerequisite
  2. 2Choose the billing modelSelect Model Service Platform and confirm the billing model (Token Sharing or Fixed Amount Fee).Decision
  3. 3Activate the clusterInstall the platform agent, submit machine configuration, and complete the guided checks.Core action
  4. 4Verify machines and capacityConfirm the activation state, expected nodes, available GPUs, and resource health.Verify
  5. 5Deploy a modelChoose a platform model in Model Gallery or upload your own, then create a deployment.Next step

BYO-GPU Path

StageWhat you doResult
1. PrepareCheck the network, CPU server, GPU nodes, drivers, and account permissions.Your environment is ready for validation.
2. Choose billing modelSelect Model Service Platform and confirm Token Sharing or Fixed Amount Fee.Billing model is locked for this cluster.
3. ActivateInstall the Smart Studio agent and submit your machine configuration.Smart Studio verifies every server and deploys the platform.
4. VerifyOpen GPU Dashboard from an activated cluster.You can inspect capacity, utilization, nodes, and model-serving health.
5. DeployBrowse Model Gallery or upload a custom model, then create a deployment.The model appears in Deployments and progresses to Ready.

BYO-Key Path

StageWhat you doResult
1. PrepareCheck the network, CPU server, and account permissions.Your environment is ready for validation.
2. Choose billing modelSelect API Router Platform and confirm Token Sharing.Billing model is locked for this cluster.
3. ActivateInstall the Smart Studio agent and submit your machine configuration.Smart Studio verifies every server and deploys the platform.
4. Access consolesLog in to Admin Console to onboard models, or User Console for end-users.Platform is accessible and ready for API reselling.

Before You Start

You need:

  • An Alibaba Cloud account.
  • A CPU server that can reach the internet during activation.
  • One or more supported GPU servers that meet the BYO-GPU requirements.
  • SSH access and the network details required by the activation wizard.
The Console is the product map

Docs 2.0 follows the current public Console menu. If a capability is not available in the Console, it is not presented as a supported 2.0 workflow.

Choose Your Next Step

New to Smart Studio

Start with Activate Cluster. It covers billing model selection, agent installation, machine verification, platform deployment, and recovery from common failures.

Your cluster is already activated

Open GPU Dashboard to confirm resource health, then go to Model Gallery or My Models.

You already have a model

Follow Create Deployment, then use Manage Deployments to verify its state and manage its lifecycle.

Where Each Console Menu Leads

Console menuUse it for
Activate ClusterChoose a billing model, connect GPU infrastructure, and deploy the platform.
Model GalleryDiscover platform models and continue to deployment.
My ModelsUpload and manage custom or fine-tuned model assets.
DeploymentsCreate, monitor, stop, restart, edit, or delete deployments.
Datasets / Fine-Tuning / EvaluationsPrepare data, improve models, and measure quality.
UsageReview consumption by self-deployed workloads.
BillingReview charges and billing details.