Zenlayer

Overview

Zenlayer, Inc. is a global edge cloud provider headquartered in Los Angeles, United States, founded in 2014 by telecom industry veteran Joe Zhu, with offices in Singapore, Shanghai, Mumbai, Tokyo, Hanoi, and other key cities worldwide, where the Shanghai office provides Chinese-language support for customers in China. The company positions itself as "the Distributed Cloud for AI," using distributed inference and a hyperconnected network to help intelligent applications run faster, more reliably, and more securely wherever they are deployed.

In terms of infrastructure scale, Zenlayer operates 300+ edge nodes across 50+ countries, with a backbone exceeding 220+ Tbps, 300+ cloud on-ramps, and 10000+ global peers, with a strong focus on emerging markets such as Southeast Asia, Latin America, and the Middle East. Its product portfolio spans bare metal cloud, elastic compute, cloud networking, global acceleration, and AI infrastructure, serving customers including Zoom, Getty Images, LEGO, VMware, and SK hynix. For an overview of the global data center market, see the global data center market report; for selection guidance, this page belongs to the cloud server providers category.

Key Strengths

• No-ICP Hong Kong nodes and global coverage: 300+ edge nodes across 50+ countries, 220+ Tbps of backbone, 300+ cloud on-ramps, and 10000+ peers; Hong Kong and other APAC nodes require no ICP filing and are optimized for mainland China access, so cross-border and overseas sites can go live directly.
• On-demand bare metal: On-demand dedicated physical servers with optional edge GPUs, provisioned in minutes, offering more flexibility than traditional server leasing and more performance than pure cloud VMs.
• Unified self-service console: zenConsole integrates compute, networking, and acceleration resources with full API automation and flexible billing from tokens to hourly, monthly, or usage-based models.
• AI-native infrastructure: Distributed Inference, AI Gateway, and Fabric for AI are purpose-built for high-concurrency, low-latency AI inference workloads.
• Enterprise compliance and support: SOC2 and ISO 27001 certified, with 24/7 support, sub-15-minute response, 95% of tickets resolved in under 4 hours, and certifications as an AWS, Google Cloud, Oracle, Intel, Equinix, and Digital Realty partner.

Product Ecosystem

Compute

• Bare Metal: On-demand dedicated physical servers with edge GPU options, suited for high-performance computing, rendering, and AI training.
• Elastic Compute: Scalable virtual servers with minute-level scaling for elastic workloads.
• Edge-based deployment can reduce application latency by up to about 40%.

Cloud Networking

• Cloud Connect: Direct on-ramps into public clouds such as AWS, Azure, and Google Cloud.
• Cloud Router: Layer 3 mesh network for multi-region interconnection.
• Private Connect / Virtual Edge: Secure, controlled data paths via private backbone and virtual access gateways.

Acceleration & Connectivity

• Global Accelerator: Global application acceleration for cross-border performance.
• CDN (Zurbo X): Global content delivery network for video and static asset distribution.
• IP Transit / Edge Colocation: High-performance internet access and edge colocation close to end users.

AI Services

• Distributed Inference: Deploy models at the edge to reduce inference latency.
• AI Gateway: One-stop access to global model APIs.
• Fabric for AI / Custom AI Services: High-speed interconnect for AI and customized global AI infrastructure deployments.

Limitations

• Opaque pricing: Bare metal and bandwidth are largely quote-based with no unified public price list, so budgeting requires contacting sales.
• Limited mainland China nodes: Zenlayer excels in overseas and cross-border nodes; mainland China direct nodes are limited, so users rely on cross-border routes such as Hong Kong.
• Learning curve: The console's network fabric, on-ramp, and routing configuration is feature-rich and takes time to master.
• Slimmer PaaS ecosystem: Compared with AWS, Azure, or Alibaba Cloud, managed database and container PaaS offerings are thinner, relying more on bare metal plus self-built solutions.

Use Cases

• Cross-border and overseas business (gaming/e-commerce/foreign trade): ★★★★★ Launch on low-latency, no-ICP Hong Kong nodes and reach users in emerging markets such as Southeast Asia.
• Overseas deployment serving mainland visitors: ★★★★☆ APAC nodes such as Hong Kong offer cross-border optimized routes, suited to independent and foreign-trade sites that need both global reach and mainland access.
• Edge AI inference: ★★★★★ Distributed inference with edge GPUs lowers latency and origin round-trips for large models.
• Bare metal high-performance computing: ★★★★★ On-demand dedicated servers for rendering, algorithmic trading, and GPU training.
• Mainland China general workloads: ★★☆☆☆ Local public clouds better serve compliance, direct connectivity, and PaaS needs for mainland sites.

Pricing

Note: Zenlayer primarily uses custom quotes; please confirm pricing on the official website or with sales.

FAQ

• How is Zenlayer different from AWS or Alibaba Cloud? Zenlayer is a "distributed edge cloud" focused on edge nodes, bare metal, and cross-border low latency, while AWS centers on regional data centers and a rich PaaS; evaluate Zenlayer for overseas and edge AI workloads, and compare broadly across cloud server providers for general use.
• Can mainland China users use it? Is ICP filing required? Hong Kong and overseas nodes require no ICP filing and work well for overseas-facing business; for mainland-facing traffic, cross-border routes add some latency versus local public clouds, so review how CDN works when planning acceleration. Zenlayer provides Chinese-language support and documentation, and customers in China can contact the Shanghai team.
• How do I get started with Zenlayer? Create an account in the zenConsole self-service portal and configure servers and network fabric, with full documentation and APIs; for application deployment practices, see the Docker Compose production deployment guide.
• Does it support AI inference and model deployment? Yes. Distributed Inference, AI Gateway, and Fabric for AI are built for edge inference and can be combined with GPU bare metal to deploy large models; see the LLM inference optimization guide and the AI local deployment hardware guide.
• How is pricing calculated? Elastic compute supports flexible usage/monthly billing, while bare metal and bandwidth are quote-based; request a trial or contact sales for pricing, and budget with the global data center market report.