Discovering a new breakthrough in global AI scaling, Zenlayer, a leading hyperconnected cloud company, unveiled its latest innovation, the “Distributed Inference” platform, during Tech Week in Singapore. This cutting-edge platform leverages Zenlayer’s global edge infrastructure to address common challenges in AI processing, such as inefficient GPU utilization, uneven workload distribution, and high latency issues.
The platform is designed to optimize scheduling, routing, networking, and memory management, enhancing edge AI performance and streamlining AI deployment processes. According to Joe Zhu, the founder and CEO of Zenlayer, “Inference is where AI truly adds value, but it also presents efficiency and performance challenges. By integrating our hyperconnected infrastructure with distributed inference technology, we enable AI providers and enterprises to deploy and scale models globally, instantly, and cost-effectively.”
Key features of the platform include elastic GPU access, automated orchestration across 300+ points of presence (PoPs), and a private backbone that reduces latency by up to 40%. It supports various AI models out-of-the-box for easy accessibility and offers real-time monitoring capabilities for seamless global scaling.
Zenlayer’s goal is to facilitate real-time AI applications worldwide, allowing businesses to focus on innovation rather than deployment complexities. With over 300 edge nodes in more than 50 countries, serving a vast majority of internet users with minimal latency, Zenlayer continues to expand its AI-ready services to maximize the potential of edge AI.