Cloudflare and JD Cloud expand their partnership to cut AI inference latency by up to 80%, aiming to simplify global AI deployment for developers.
Cloudflare and JD Cloud have announced a major expansion of their partnership, aimed at helping developers deploy and scale AI inference workloads globally with significantly lower latency.
The companies said the collaboration could reduce latency for AI inference workloads by as much as 80 percent, addressing the growing demand for geographically distributed AI infrastructure as AI-powered applications proliferate worldwide.
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Under the expanded partnership, Cloudflare and JD Cloud plan to deliver a unified networking platform that connects developers across regions, enabling global access while simplifying entry into the Chinese market—and vice versa. The goal, the companies said, is to create a high-performance AI cloud that removes many of the technical and regulatory barriers that have historically complicated cross-border deployment.
“The future of AI depends on a truly global network that can keep up,” said Matthew Prince, co-founder and chief executive of Cloudflare. “Our partnership with JD Cloud gives developers a simple, reliable way to build and run AI applications seamlessly across the world.”
The announcement builds on a relationship that has developed over the past five years. Through the existing integration, customers can activate services in China without modifying their applications. Traffic from users inside China is routed automatically to local JD Cloud data centers, while traffic elsewhere is served through Cloudflare’s global network.
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Cloudflare said the arrangement also strengthens security and performance through its web application firewall, distributed denial-of-service mitigation, and global content delivery network, ensuring consistent protection regardless of user location.
JD Cloud said the partnership aligns closely with its mission to provide enterprise-grade technology services at scale. By combining Cloudflare’s global network with JD Cloud’s infrastructure and the broader operational expertise of its parent company, JD.com, the company said it can better support customers operating across complex international environments.
As AI inference workloads continue to grow in both scale and complexity, the two companies are betting that tighter integration—and fewer geographic constraints—will become a competitive necessity for developers building globally distributed AI applications.
