What Is LLM Studio¶
LLM Studio is a comprehensive AI model management solution designed for enterprise users. It addresses key challenges enterprises face when adopting large models, such as deployment complexity, model selection difficulties, stability issues, and potential security risks. By offering end-to-end lifecycle services—from model deployment to operational management—the platform helps enterprises and developers efficiently integrate and utilize large-scale AI capabilities, accelerating digital transformation and intelligent innovation.
Key Features
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One-Click Deployment & Simplified Operations
- GUI and API Support: Provides both an intuitive web interface and a complete set of APIs
- One-Click Model Deployment: Enables fast onboarding of mainstream large models within minutes
- Dynamic Inference Backends: Supports multiple engines such as vLLM and SGLang
- Real-Time Scaling: Adjust instance counts flexibly based on business needs
- Multi-Region Deployment: Deploy models closer to your users as needed
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Traffic Management & Stability
- Intelligent Traffic Strategy Engine: Controls traffic based on weights, QPS limits, and more
- Multi-Layer Rate Limiting:
- Global Rate Limit: Manages platform-wide load
- API Key Rate Limit: Fine-grained access control per application
- Tenant-Based Rate Limit: Dedicated protection for enterprise users
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Distributed Inference
- Multi-Node Multi-GPU Deployment: Supports large parameter models like DeepSeek and GLM
- Heterogeneous GPU Support: Compatible with NVIDIA, Biren, Metax, Ascend, and more
- Load Balancing Strategies:
- Round-Robin: Evenly distributes traffic
- Random: Quickly disperses requests
- Weighted: Routes based on defined weights
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Accurate Billing & Usage Metrics
- Token-Based Metering: Aligns with industry-standard billing models
- Multi-Dimensional Statistics:
- Tracks total invocations and input/output tokens
- Filters by API Key, model type, and time range
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Unified Multimodal Management
- Model Gallery: Showcases a variety of text and image models
- Side-by-Side Model Comparison: Single input, simultaneous responses from multiple models
- API Usage Examples: Includes demos and integration documentation