Cloudflare and JD Cloud Expand Partnership to Boost AI Inference Deployment and Performance
In a major initiative to accelerate the delivery and scaling of artificial intelligence workloads, Cloudflare and JD Cloud boost AI inference deployment through an expanded global partnership that will help developers deploy, manage and scale AI inference workloads with significantly reduced latency and broader geographic reach.
Building on five years of collaboration, the enhanced alliance combines Cloudflare’s global connectivity cloud with JD Cloud’s infrastructure to create a high-performance AI Cloud allowing developers worldwide to run AI inference more efficiently while bridging the gap between international and China-based markets.
Slashing Latency and Enabling Global AI Workloads
The partnership aims to tackle one of the biggest challenges in AI deployment: latency. By integrating Cloudflare’s expansive global network with JD Cloud’s China presence and compute resources, the collaboration is projected to reduce latency for AI inference workloads by up to 80 percent, accelerating real-time applications and improving responsiveness for users everywhere.
This global AI Cloud experience is designed to provide developers and businesses with a cohesive platform that eliminates technical complexity and enables seamless deployment of AI models, no matter where users or workloads reside.
What the Collaboration Delivers
Under the expanded partnership:
- Global reach: AI inference workloads can be deployed close to end users across multiple regions, cutting response times and improving user experience.
- Seamless user experience: Developers can manage deployments without changing code to serve traffic locally in China or internationally.
- Performance and security: By coupling Cloudflare’s connectivity cloud including advanced security services like its Web Application Firewall and DDoS mitigation with JD Cloud’s local infrastructure, the solution supports secure, reliable inference delivery at scale.
- Scalability: The combined footprint helps organizations scale AI-driven applications rapidly as demand grows, supporting broader adoption of inference workloads across industries.
Why This Partnership Matters
The rapid expansion of AI-powered services has increased demand for geographically distributed inference, the process of running trained models to generate predictions or responses in real time. Traditional centralized deployments often struggle with latency and compliance hurdles across regions, especially when connecting China’s ecosystem with global markets.
By integrating infrastructure and edge networking, Cloudflare and JD Cloud address these challenges head-on, giving enterprises a practical pathway to deploy real-time, performance-sensitive AI applications with global reach.
What Leaders Are Saying
Matthew Prince, co-founder and CEO of Cloudflare, emphasised that building a truly global network to support AI workloads is essential for the future of AI, and that the expanded partnership with JD Cloud makes it easier for developers to build and run AI applications across markets.
JD Cloud has noted that Cloudflare’s mission complements its own goal of delivering premier services to business customers, ensuring that users can access powerful inference capabilities without operational friction across borders.
Outlook: A High-Performance AI Cloud Future
As adoption of AI continues to accelerate across industries, scalable and efficient inference delivery will be key to unlocking new use cases from real-time recommendations and natural language interfaces to image analysis and autonomous systems. By reducing latency and simplifying deployment globally, the Cloudflare-JD Cloud partnership is poised to help developers build AI applications that are both fast and reliable, with performance tuned for a worldwide audience.
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