Alibaba Cloud Smart Studio is a custom-branded commercial MaaS platform, helping you turn your GPU resources into revenue-generating AI Services, supporting on-prem deployment on your own infrastructure.
Smart Studio currently supports self-service activation. You can activate the service on your own, deploy models, and go live in minutes via our agent. Compared to other MaaS platforms, you can simply follow the guide and deploy on your own. We only charge you a token sharing fee on actual usage.
👉 Try self-service activation now!
With it you get:
- Fully automated deployment: AI agent will help you deploy Smart Studio and register your cluster on your own. No setup fee.
- One console for all your GPUs: Register GPU clusters from multiple sources (Databases, Clouds...) under a Smart Studio Platform.
- GPUs as Model Services: Deploy open-source models on your existing GPUs and instantly expose them as API endpoints for your internal teams or applications to call.
- Inference Optimization: We apply KV-Cache, P/D separation, and per-model optimization to mainstream open-source models (including Qwen3.5, Deepseek-V4, and more), so your agent workloads complete more tasks per GPU you already own.
For the technical depth on how we squeeze more throughput out of each GPU, see our recent KV-Pool deep-dive, where we measured up to 142% more requests completed and 91% lower TTFT on the same hardware.
Fully Automated Deployment
Traditional on-prem MaaS platforms always come with a setup invoice. An engineer schedules a few sessions with your team, runs install scripts against your environment, and bills you somewhere in the five-figure range before you can serve a single token.
With self-service activation, the entire process runs through our AI agent. The agent walks you through every step: installing the Smart Studio in your environment, connecting to your GPU cluster, and registering the cluster under your instance. You stay in control of every authorization, and nothing connects to a cluster without your explicit consent.
By the end of the activation, you will have a running Smart Studio instance with at least one registered cluster and ready to deploy your first model.
From Your GPUs to Internal Model Services
Your GPUs probably don't live in one place. Each cluster needs its own setup, its own model deployment, its own monitoring, and you may find it difficult to manage and call all these model services.
Smart Studio can pool your GPU resources across multi-cloud and multi-database environments under one instance. Once you authorize the clusters from different sources, you can manage and deploy models on all of them from a single console.
With the pool ready, the next step is what to put on it. Each GPU can deploy our optimized open-source models, offered as model services for internal use. Your internal applications, like RAG services, copilots, and agent workflows, can call them directly.
Pricing
Right now, self-service activation comes with no minimum daily charge. You pay only for the tokens your GPUs actually serve, calculated as:
Token Sharing Fee = Consumed Tokens × Model Standard Price × Sharing Rate
This is a limited-time launch promo. Once the promo ends, the standard $10/day minimum Token Sharing Fee will be restored, and days when your actual token usage falls below $10 will be billed at the $10 floor.
For sharing rates and the full pricing breakdown, see our Pricing & Billing documentation.
Get started
Smart Studio self-service activation is live today, with no daily minimum during the launch promo.
Launch your model services now (fully self-service): activate the service and start serving top open-source models in minutes. Integrate them into your own platform for internal use, or start to monetize as AI business.
Contact us or Visit our landing page for more details.
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