Global Multi-Model AI Platform Achieves Fast and Reliable Model Delivery with CDNetworks

Background

The customer is a leading global multi-model AI platform that aggregates Gemini, ChatGPT, Claude, and other AI models under a single, unified account for enterprises and users worldwide.

By aggregating multiple model APIs and delivering them through a unified gateway, the platform expands AI access to regions where direct access is restricted. However, rapid business growth also exposed critical infrastructure challenges that could limit the customer’s future scalability.

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Challenges

High Latency for Global Model Access

The customer struggled to deliver aggregated AI models with consistently low latency to users globally. Users located far from origin servers frequently encountered higher latency, network jitter, and inconsistent performance. Long routing paths and unstable network conditions degraded response speed and overall user experience.

High-Concurrency Pressure from Model Requests

Rapid platform growth introduced massive, unpredictable spikes in concurrent API requests. During peak usage periods, traffic overwhelmed origin bandwidth and compute capacity, triggering API timeouts, rate limiting, and service unavailability. Service disruptions often coincided with peak demand—precisely when users required stable access most. Without better traffic management and origin protection, sustaining reliable service at scale became increasingly difficult.

Security Risks from Exposed Model APIs

Exposed APIs and file delivery endpoints created significant risks of scraping, API abuse, and DDoS attacks. Attackers exploited the exposed endpoints to abuse resources and compromise infrastructure stability. Without adequate protection, the customer faced ongoing risks to service availability and data security.

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Solutions

To ensure reliable AI model access and protect infrastructure from evolving threats, the platform needed a unified solution for latency optimization, traffic management, and security.

CDNetworks provided a unified acceleration and security solution designed for multi-model AI platforms. Leveraging CDNetworks’ Dynamic Web Acceleration and Cloud Security 2.0, the customer achieved faster and more secure model access with low latency and high availability across global regions.

1. Reliable Global AI Model Delivery

With Intelligent Scheduling dynamically optimizing traffic routing in real time, the customer maintained stable, low-latency AI service delivery across multiple models and complex global networks.

By routing requests through CDNetworks’ 3,000+ global PoPs spanning more than 90 countries, our solution brought multi-model AI responses closer to end users and cut round-trip time at scale. Support for HTTP/2, HTTP/3 (QUIC), and WebSocket further improved transmission efficiency for real-time AI interactions across the delivery layer.

Our customized session management added another layer of reliability by keeping client connections synchronized with upstream AI model sessions. When no active user session was detected, unnecessary token generation could be stopped immediately. This helped reduce unnecessary inference costs while maintaining a more consistent experience for end users.

🚀What this achieves: Eliminated the routing inefficiencies and network instability that had previously undermined consistent model access for users worldwide.

2. Intelligent Origin Traffic Control

With CDNetworks’ Dynamic Web Acceleration, frequently repeated AI queries could be cached at the edge, significantly reducing origin server load. This also helped improve margins on token resale by lowering unnecessary inference traffic to upstream AI services. Aggregated inference requests were routed precisely and efficiently to the appropriate backend AI models, ensuring fast and accurate responses for end users.

The platform also gained greater resilience against traffic bursts. Intelligent request queuing and customized rate controls further smoothed traffic bursts and protected upstream AI services from overload.

🚀What this achieves: Minimized excessive server and database scaling costs during periods of high AI request concurrency.

3. Strengthened AI API Security and Origin Protection

Leveraging CDNetworks’ integrated security capabilities, including DDoS protection, Web Application Firewall (WAF), API Security, bot management, and malicious request filtering, the customer strengthened its protection for AI APIs and services.

By intercepting non-compliant requests early at the edge, the solution minimized potential threats before they could reach the origin infrastructure. At the same time, legitimate AI traffic continued to flow smoothly without unnecessary blocking. In addition, the customer’s origin server IPs and endpoints remained hidden from public exposure, providing secure and stable multi model AI service delivery.

🚀What this achieves: Remediated the exposure risks that had left the platform’s APIs and delivery endpoints susceptible to exploitation and abuse.

4. 24/7 Support and Security Services

Backed by CDNetworks’ 24/7 expert support and continuous security services, the customer was able to proactively inspect AI requests for malicious activity and respond to threats in real time. Based on customer-defined security policies, malicious traffic was analyzed, verified, logged, and blocked continuously to help maintain secure, stable multi-model AI platform operations.

🚀What this achieves: Ensured security operations remained continuous and consistent without placing additional burden on the customer’s internal teams.

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Results and Benefits

70%+ Global Latency Reduction

By reducing global latency by more than 70%, the customer significantly improved response stability, minimized timeout occurrences, and consistently maintained response times under 50 ms. Optimized traffic delivery further enabled stable and reliable AI interactions for users across global regions.

66%+ Origin Bandwidth Savings

Through intelligent edge caching and traffic optimization, the customer’s origin bandwidth usage was reduced by more than 66%, lowering infrastructure pressure and optimizing operational costs. With fewer repeated origin requests, the platform maintained more stable and efficient service delivery at scale.

100% Protection for AI Model APIs

CDNetworks successfully mitigated 100% of attacks targeting AI model APIs, including DDoS attacks, malicious bot activity, and unauthorized access, ensuring uninterrupted service availability and protecting critical AI model APIs from abuse and disruption.

99.9% Service Availability

CDNetworks helped the customer maintain 99.9% service availability, ensuring stable access during peak traffic periods and large-scale model request surges, improving platform resilience, and minimizing the risk of downtime across global regions.

3700%+ Bandwidth Growth

Over 4 months, the platform scaled to support more than 3700% growth in bandwidth demand, with CDNetworks absorbing the surge without degradation in latency or availability.