In the era of booming Artificial Intelligence (AI) and Generative AI (GenAI), businesses are facing groundbreaking opportunities in productivity, customer experience, and operational optimization. However, to harness the power of AI models – especially large language models (LLMs) – businesses must confront a series of challenges related to security, performance, and control in practical deployment.
Therefore, VNG Cloud AI Gateway was born as an intermediary platform, helping businesses deploy AI quickly and securely. AI Gateway handles the common needs of AI applications, so you can fully focus on developing core products.
Let's learn about AI Gateway and why AI Gateway is the optimal choice for businesses in their AI deployment journey.
The challenges in the journey of deploying AI into practice
Applying AI in businesses today is not merely about deploying technology, but also requires the ability to solve a series of complex problems such as:
Security and access control: Without a centralized management point, it is difficult for businesses to control who is using the LLM model, how often it is used, and what data content is sent to the model. This leads to the risk of information leakage and a lack of ability to limit access.
Cost and performance: Each LLM model provider has different monitoring tools, and the lack of a centralized monitoring point makes it difficult to control budget and performance. Lack of Caching, Load Balancing, and Automatic Error handling can lead to high costs and significant latency.
Model management and distributed integration: Integrating and using multiple LLM models from various providers can cause fragmentation and make maintenance difficult in case of issues. Without a centralized management platform, businesses will find it difficult to deploy flexibly or change models when necessary.
Recognizing these barriers in AI deployment, VNG Cloud has developed AI Gateway to provide a Unified Interface for managing and centrally connecting with LLM models from multiple providers. This solution simplifies integration while ensuring performance, security, and operational safety.
The core triple power of VNG Cloud AI Gateway
Observability - Monitoring - Analytics: Monitoring all interactions between applications and LLM models: from user behavior, query flows to the response performance of each LLM model. The alert system helps detect incidents early, thereby ensuring high stability and availability for all AI applications.
Performance Optimization: Thanks to integrated Smart Caching, flexible Load Balancing, and Automatic Error handling (Automatic Retries, Automatic Fallback), AI Gateway helps accelerate response times, reduce latency, optimize costs and performance, and ensure stable scalability.
Governance: With the ability to integrate Guardrails to filter sensitive and inappropriate content, and Rate Limits, AI Gateway helps businesses deploy AI safely and in compliance with regulatory policies.
VNG Cloud AI Gateway - Available Features Now!
Manage Model Providers
AI Gateway allows easy connection to popular LLM providers such as OpenAI, Google, DeepSeek, Anthropic.
Monitoring - Monitor performance through Metrics and Logs of multiple AI model providers
Metrics: Aggregating metrics from various provider and tracking traffic trends and usage including the number of requests, tokens, and costs over time.
Logs: Recording all activities for analysis and inspection. Every request sent through AI Gateway is fully logged, including information about time, query content, response from the LLM model, response time, query status, etc. Logs helps businesses inspect,detect abnormal behavior and effectively investigate security incidents.
Authentication Token - Centralized authentication management
AI Gateway with centralized authentication management enabling flexible and secure access to various LLM models without the need for managing multiple complex tokens.
Upcoming new features
VNG Cloud AI Gateway will launch important features to support a wider range of business needs:
Model Providers: Supporting more popular LLM model providers, and allow connection to custom models deployed by customers on AI Platform Managed Inference.
Guardrails – Content and behavior control: Providing mechanisms for content filtering, limiting response scope, and conditional responses, to ensure AI generates accurate, appropriate, and safe results.
Caching (Exact & Semantic) – Optimize performance and cost: Accelerating responses and reduce costs by storing recent queries, helping to limit unnecessary LLM model calls and improve overall efficiency.
AI Gateway is the central management platform for accessing AI models at VNG Cloud AI Stack
Closely integrated with AI Platform (training, fine-tuning, model deployment) and Vector Database Platform (efficient embedding storage and retrieval), AI Gateway helps connect, control, and optimize the entire AI workflow – from idea to practical operation – within a unified, flexible, and sustainable ecosystem.
Learn more about AI Gateway and VNG Cloud AI Stack ecosystem and visit the VNG Cloud AI Gateway Portal to accelerate AI deployment efficiently and securely!