Turbo-AI
TurboAI provides an integrated AI infrastructure platform combining owned GPU compute with multi-source model services under a unified Token-based commercial gateway. The platform offers both Token-based API access for developers and direct GPU infrastructure usage for teams running training workloads, with metered billing and intelligent traffic routing across its four-layer architecture.
- Artificial Intelligence
- Enterprise Software
- Developer Tools
- Software Only
Funding
Founders
Founder details are not available yet.
Product
Problem
Developers and small-to-medium businesses face fragmented AI infrastructure options, struggling to balance compute costs, model availability, performance stability, and security when building AI-powered applications. Managing GPU infrastructure and multiple model providers separately adds operational complexity and slows AI adoption.
Solution
TurboAI delivers an integrated AI infrastructure platform that combines owned GPU compute capacity with multi-source model services under a unified Token-based commercial gateway. The platform is architected across four layers—physical hardware, cloud infrastructure, model technology, and a Token commercialization gateway—enabling two business models: Token-based API access and direct GPU infrastructure usage. TurboAI Cloud provides elastic GPU resources for model training and inference, while the Model Studio and TaaS gateway offer model management, intelligent traffic scheduling, tenant isolation, and metered billing through standardized APIs.
Target Audience
Primary customers include individual developers, startup teams, and small-to-medium enterprises seeking flexible model APIs or GPU cloud infrastructure for AI training and inference, as well as specialized users such as AI researchers, data scientists, and developers in finance, bioinformatics, and game development.
Features
- Unified Token commercial gateway supporting multi-model APIs with metered billing, multi-tenancy, and intelligent traffic routing
- AI Model Studio including inference frameworks, AI Agent frameworks, model registry, data platform, and user workspaces
- Turbo Cloud platform with resource pooling, container orchestration, virtual resource scheduling, automated deployment, and hardware monitoring
- Physical hardware layer with CPU, GPU, object storage, distributed storage, and RoCE RDMA high-performance networking
- Both Token-based API access for developers and direct GPU infrastructure access for teams running their own training workloads