AIFusion large model inference platform
AIFusion is a cloud-based AI large model inference platform independently developed by Yuzhi, aimed at the implementation of intelligent applications for enterprises, integrating model repository, inference deployment, model routing, API gateway, GPU resource monitoring and container management capabilities, supporting high availability deployment on single machines and multi-node, and helping enterprises to manage models more efficiently, stably, and securely and release computing power.
Core function
Provide stable, efficient, and secure functional capabilities around core business processes to help enterprises quickly complete product landing and continuous operation.
Model deployment online
Supports quick deployment of mainstream open-source and domestic large models, just a few steps to complete model online and automatically generate external call interfaces, enabling AI services to be put into use quickly.
Intelligent routing high availability
Can configure backup instances for the main AI service, automatically switch to the backup service in case of failure, almost no business interruption, providing reliable protection for key businesses.
Permission and billing control
Unified management of user permissions and call quotas, each call is recorded, AI usage costs are accounted for by department, achieving refined cost allocation and compliance control.
On-premises deployment
Supports deployment in enterprise self-owned data centers or internal networks, data stays within the enterprise throughout, meeting compliance requirements for high-security scenarios such as banks, governments, and hospitals.
Product highlights
Focus on performance, security, ease of use, and scalability, continuously enhancing the comprehensive value of the product in complex business scenarios.
One platform to handle everything
In the past, it took several tools and several teams to complete model management, permission billing, and environment operations, but now everything can be done on one platform and one interface, reducing the need for systems and personnel.
Fast launch and delivery
Select a model, click a few times, and the platform will automatically complete the deployment and generate an interface that can be used externally, which can complete the original several-day launch process in a few steps.
High availability of services
Multiple backup instances can be configured for the main AI service, and the service will automatically switch to the backup service when the main service fails, allowing customers to be almost unaware of the switch, ensuring that critical business operations are not interrupted and providing reliable business operation guarantees.
Data does not leave the door
Supports deployment in customer-owned data centers, with data remaining entirely within the enterprise and not being sent outside, meeting the high data security requirements of customers such as banks, governments, and hospitals.
Application scenario
Suitable for various business and industry scenarios, helping organizations quickly build replicable and scalable digital application capabilities.
Unified management of AI models for financial institutions
Banks, insurance, securities and other financial institutions introduce various types of AI models (risk control models, customer service large models, document review models, etc.), and the models are scattered in different teams and servers, making it difficult to统筹 permissions and usage. The platform integrates model deployment, call billing, and permission control into one interface, accounts for AI usage costs by department, keeps data within the corporate intranet, and meets financial compliance requirements.
Government AI service private deployment
Facing government departments, the platform supports private deployment in government clouds or self-owned data centers, providing unified management of various AI models (document assistance, policy Q&A, intelligent proofreading, etc.), offering permission分级 and operation auditing, meeting the requirements of data security protection, and ensuring that data does not leave the government network.
Large enterprise multi-department AI capability platform
Independent introduction of AI tools by departments of group enterprises is prone to waste of resources and redundant construction. The platform builds an enterprise-level AI capability center, unifying the management of GPU computing resources and model instances, with each department calling for needs and paying for usage, significantly improving GPU utilization.
Hospital / Research Institute AI Reasoning Service Management
When introducing AI-assisted diagnosis, literature analysis, and other models to medical, scientific research, and other data-sensitive institutions, strict requirements are placed on data security. The platform's private deployment capability ensures that patient data and scientific research data do not leave the hospital area, while intelligent routing high availability ensures that critical services are not interrupted.