Product Introduction

The Large Model Service is oriented towards enterprise customers and developers, providing stable, low-latency, and high-performance-ratio Large Language Model (LLM) inference and multimodal calling capabilities. Based on the next-generation distributed AI infrastructure (AI Infra), the platform integrates multi-regional TPU resources nationwide and combines multi-level scheduling and intelligent resource orchestration mechanisms to help customers accelerate the implementation of diverse AI applications while ensuring response efficiency and cost control.

The service also supports mainstream open-source and commercial models, providing enterprise-level model hosting, refined parameter configuration, and private deployment capabilities, widely applicable to typical scenarios such as Agents, virtual assistants, content generation, intelligent Q&A, and document summarization.

Core Capability Advantages

Precisely Customizable

• Multi-region Deployment: Covers multiple access nodes in China, supporting nearby distribution and multi-location model scheduling distribution.
• Load Isolation Scheduling Mechanism: Ensures stable response of model inference in high-concurrency scenarios, improving call success rate and availability.

Ultra-high Cost Performance

• Flexible On-demand Billing: Supports billing methods based on Token amount or number of calls to meet cost optimization needs at different business stages.
• High-performance TPU Support: The platform uniformly schedules multiple types of TPU resources to achieve excellent computing cost efficiency.

Rapid Delivery Experience

• Out-of-the-box Inference Platform: Integrates mainstream models and toolchains (tokenizer, embedding, etc.), allowing online launch without extra setup.
• Standardized API Interface Compatibility: Compatible with OpenAI standard calling protocols, facilitating access and replacement of existing systems.

Private Deployment Service

Supports full-stack private deployment solutions for enterprise customers, suitable for business scenarios with high requirements for data security, model customization, and service stability, deployable to enterprise intranets, hybrid clouds, exclusive clouds, or edge computing nodes.

Service Capabilities

• Provide Service Level Agreement (SLA) guarantee, clarifying performance and availability indicators;
• Support advanced configurations such as model debugging, inference acceleration, API rate limiting, and version management;
• Deployable to various network environments, with integrated support for matching monitoring systems and data access components;
• Provide one-stop service support for models, inference frameworks, monitoring systems, data access components, etc.

If you need private deployment or deeper business support, please contact the business team or visit official channels for consultation.