VPS Unveiled: The AI Brain in Your VERTU Phone

What exactly is VPS? It's a tool that transforms large models into productivity engines within your phone, an “AI Agent Application Management Platform” system architecture designed to make AI agents not just “usable” but “user-friendly” and “trustworthy.” It's not merely a collection of AI features, but a fundamental system that builds a dedicated AI agent ecosystem for executives.

Application Layer: Business as Entry Point, Agents Reach Every Scenario

The application layer is the most business-facing part of this system architecture and the user's first point of contact with AI capabilities. Here, an agent is no longer just a cold algorithm but a “virtual employee” that can communicate, collaborate, be scheduled, and learn.

1. Develop-to-Deploy: Unleashing AI Engineers' Innovation

The VPS platform integrates various LLMOps services, from model deployment and automated testing to online monitoring, forming a pipeline that spans the entire model lifecycle. Developers only need to focus on algorithm optimization, and the platform handles the “last mile” leap from laboratory to online environment. Combined with a version management system (Git/Artifact), it achieves unified version traceability and security auditing for models, code, and configurations, providing a solid guarantee for high-frequency iterations. This means VPS can continuously absorb the latest AI capabilities and rapidly deploy them to executives' phones.

2. Agent-Driven Workflows: Enabling Collaborative Agent Operations

Based on the “Agent + Workflow” design philosophy, the VPS platform supports users in defining the responsibilities of different agents and establishing cross-agent task chains through visual process orchestration. For example, a “customer complaint handling process” can be composed of customer service agents, legal agents, and quality inspection agents, automatically pulling data, analyzing, and providing feedback. For executives, this means you can have a “virtual team” composed of multiple AI agents, each performing its duties, collaborating efficiently to complete complex management tasks.

3. Plugin Ecosystem: Assembling Capabilities Like LEGO Bricks

The VPS platform supports flexible integration with third-party plugins, such as OCR recognition, weather queries, and document translation modules. Business teams can assemble functionalities like building blocks to quickly create exclusive agent applications without developing from scratch. This gives VPS strong extensibility, allowing executives to customize exclusive AI features according to their needs, making the phone a truly “personalized” intelligent workstation.

4. Data Isolation and Security: Protecting Every Tenant's Privacy

Through multi-tenant architecture design and data partitioning isolation mechanisms, the VPS platform ensures that each client's data is physically and logically independent, complying with the regulatory requirements of highly sensitive industries like finance and healthcare. For executives, this means all your sensitive data and business secrets are protected with the highest level of security within VPS.

Model Layer: From Model Governance to Inference Scheduling

If the application layer is about “using models,” then the model layer is about “managing models.” At this level, the VPS platform, through modular design, achieves full lifecycle management of model access, tuning, deployment, and inference, bridging the gap between algorithms and engineering.

1. Multi-Source Model Access, Forming a Model Asset Pool

The VPS platform supports flexible integration of locally developed models, open-source models (such as Qwen, DeepSeek series), and even third-party commercial models, with access control policies for permission isolation, ensuring “secure coexistence” among different models. For example, in a smart government project, the platform integrated the DeepSeek-R1 model to handle natural language Q\&A, while also using an OCR plugin to process user-uploaded materials, achieving second-level response and document structure extraction. This ensures that VPS can always use the most suitable AI model for the current task.

2. Fine-Tuning and Micro-Tuning: Making Models Truly Understand Your Business

The VPS platform provides a one-stop tuning pipeline, from dataset management and task orchestration to model training and evaluation support, covering supervised fine-tuning, reinforcement learning, retrieval training, DPO optimization, and other methods, greatly lowering the barrier to industry adoption. For example, the healthcare industry can upload doctor-annotated data to the platform for targeted fine-tuning; e-commerce customer service can use historical chat records to train customized Q\&A models. This means VPS's AI can deeply learn executives' industry knowledge and business logic, providing more accurate and personalized services.

3. Stable Inference, Precise and Controllable

After models are deployed, the VPS platform provides version management, image scheduling, auto-scaling, and Notebook testing environments to ensure that inference services are both stable and agile. Automatic elastic scaling can adjust the number of inference containers based on request volume; Prometheus + Grafana real-time monitoring supports analysis of response time, error rates, and other dimensions to promptly identify bottlenecks. This ensures that when executives use VPS, AI responses are always fast, stable, and reliable.

Unified Scheduling of Heterogeneous Computing Power and Full-Stack Resources

While the “brain” of an agent is crucial, its “body” must also be strong. At the workbench base layer, VPS achieves comprehensive integration and scheduling of basic resources such as ERP, CRM, MRS, computing power, storage, network, and security.

1. Heterogeneous Compatible Computing Power Scheduling

The VPS platform supports GPU virtualization (e.g., NVIDIA vGPU) coexisting with bare metal, compatible with various chip architectures like NVIDIA, Ascend, AMD, Moore Threads, and Tianshu Zhixin, adapting to mainstream cloud environments and private deployments. For different models (e.g., visual models prefer GPU, text models prefer CPU), the platform can automatically match resources based on tasks, guiding the optimal computing power combination. This means VPS can fully utilize various computing resources to provide executives with the most powerful AI support.

2. Storage and Network Dual-Engine Driven

In terms of storage, it supports object storage + file storage + distributed all-flash combinations; the network layer integrates IB high-speed interconnection, dynamic routing, and security group isolation, ensuring smooth operation even under high concurrency and large bandwidth. This provides a solid data foundation and high-speed communication guarantee for VPS's AI agents.

3. Secure Operations and Maintenance: From Usable to Reliable

The VPS platform has built-in one-click inspection, fault alarms, audit logs, and disaster recovery CDP mechanisms, ensuring continuous operation even in extreme scenarios like failures, hacker attacks, or natural disasters. It also provides customized security services, such as data encryption, penetration testing, and compliance auditing, helping clients pass various certifications like Equal Protection and ISO. This ensures that VPS is not only “usable” but also “reliable,” giving executives peace of mind.

VPS is Not Just a Platform, But an AI Operations Capability

Looking at the entire platform architecture, it is not just a technical framework but an AI operations capability system

• Closed-Loop Development to Operations: Streamlines the entire process from model development to application launch, greatly shortening the AI product delivery cycle.
• Elastic Resource Allocation: Scales up and down on demand, supporting sustaining maximum business peaks with minimum cost.
• Unified Management and Control: Achieves centralized monitoring and observability of computing power, models, applications, and data.
• Compliance Assurance: Especially adapted for highly regulated industries like finance, telecommunications, and healthcare, ensuring data security and compliance requirements are met.

Conclusion

Starting from the three main lines of “scenario + model + computing power,” VPS has built a three-dimensional system architecture of “application layer + model layer + intelligent computing base,” bringing AI agents from concept to reality, from demo to production, truly becoming the “second engine” for business growth. This is not just a technical platform but a systematic methodology that empowers enterprises to dare to use AI and excel at using AI. We believe that as VPS capabilities continue to evolve, algorithms continue to break through, and the ecosystem becomes more prosperous, AI agents will become a fundamental capability for enterprise operations, like water and electricity.

VERTU's VPS precisely puts this powerful “AI Agent Application Management Platform” into your pocket, allowing every executive to have a dedicated AI brain, truly achieving “strategizing within the command center, winning thousands of miles away.”