Zenlayer Launches Distributed Inference to Power AI Deployment at Global Scale

Driving the next wave of AI innovation through high-performance inference at the edge

As AI applications proliferate globally, two challenges still limit scalability: costly idle GPUs from uneven workloads that waste investment and cause unpredictable inference times, and the complexity of orchestrating models and resources across regions, creating latency gaps and inconsistent performance.

Zenlayer’s Distributed Inference directly addresses these issues, integrating Zenlayer’s globally distributed compute infrastructure with optimization techniques spanning scheduling, routing, networking, and memory management to maximize edge performance. With broad model support, ready-to-use frameworks, and real-time monitoring, it streamlines operations and accelerates deployment, making it easier than ever to scale inference on a global level.

“Inference is where AI delivers real value, but it’s also where efficiency and performance challenges become increasingly visible,” said Joe Zhu, Founder & CEO of Zenlayer. “By combining our hyperconnected infrastructure with distributed inference technology, we’re making it possible for AI providers and enterprises to deploy and scale models instantly, globally, and cost-effectively.”

What sets Zenlayer apart is that, instead of requiring customers to manage infrastructure or integrate low-level optimizations, it provides elastic GPU access, automated orchestration across 300+ PoPs, and a private backbone that reduces latency by up to 40%. The result is simple, scalable, real-time inference delivered closer to end users—letting organizations focus on building while Zenlayer handles global deployment complexities.

As AI continues to reshape industries, delivering real-time intelligence globally will be essential. Zenlayer Distributed Inference marks a major step toward making that a reality. Additionally, Zenlayer is expanding its portfolio of AI-ready services to unlock the full potential of AI at the edge.

Source: Zenlayer media announcement