> Distributed Inference
Real-time AI. Delivered at global scale.
Instantly deploy, connect, and scale models anywhere with peak performance, efficiency, and cost savings.
AI applications are only as good as their inference
Proactively optimizing inference costs and performance is critical to achieving real value from AI deployments.
It never stops
Every interaction between the AI and the user triggers inference. With agentic AI, inference evolves from a single response to multi-round reasoning, significantly increasing computational complexity.
It dominates lifetime cost
For most companies using AI, the ongoing cost of running models daily (inference) vastly outweighs the initial training cost, potentially accounting for 80-90% of the total lifetime expense.
But scaling inference is still challenging
Wasted resources
Uneven demand leaves costly GPUs underused, driving up spend with little ROI.
Complex global rollouts
Managing frequent model/resource syncs across regions slows teams down.
Unstable performance
Latency spikes and poor coordination create inconsistent user experiences.
Built for edge AI at scale
Meet your one-stop platform for deploying open-source or custom models in 50+ countries.
Deploy anywhere,
instantly
- Deploy instantly across 300+ PoPs in 50+ countries with up to 40% lower latency.
- Auto-distribute models to target regions via zenConsole or API using a built-in, unified AI Gateway for synchronized, optimized deployments
Build and run models
your way
- Bring your own custom enterprise model or run open-source LLMs with ease.
- Launch CV, NLP, or custom models instantly with preloaded TensorFlow, PyTorch, and more.
Optimize performance
+ utilization
- Maximize utilization with elastic GPUs and cut costs with dynamic batching, scheduling, and parallel execution.
- Run seamlessly across NVIDIA, AMD, and future accelerators with portable performance, no vendor lock-in, and intelligent execution that auto-selects CUDA or CPU ops.
Unlock full visibility
+ control
- Upload, version, manage, and upgrade models via an easy-to-use zenConsole.
- Monitor CPU, GPU, memory, QPS, and latency in real time with automated failover.
- Pay by token, second, or hour and cut costs through dynamic resource allocation.
Distributed Inference helps you
Scale in a few clicks
Deploy, connect and scale models in minutes across 50+ countries with pay-as-you-grow flexibility.
Streamline and save
Simplify global deployment, boost GPU efficiency, and cut costs with usage-based billing.
Deliver real-time AI
Run smooth, responsive AI workloads with up to 40% lower latency on our private global backbone.
Focus on innovation
Offload infrastructure complexity so your teams can focus on building your AI applications.
> Customer Stories
AI video startup scales generative inference worldwide
A fast-growing startup in AI generative video used Zenlayer to elevate user experiences while lowering infrastructure costs.
Leveraging elastic GPU clusters, a smart inference scheduler, and an optimized runtime, they scaled on demand and maximized compute efficiency. Augmented by our global edge network, private backbone, and model repository, the startup now delivers smoother real-time experiences to users worldwide.
Results:
- Reduced latency to ~100ms for better responsiveness
- Cut infrastructure costs by 30% via efficient GPU utilization
- Improved deployment efficiency by 40% with versioning/hot-loading support
Accelerate your AI performance worldwide
Connect with our AI experts to discover how Zenlayer Distributed Inference can help you deliver real-time, high-efficiency AI experiences across the globe.
Global service, local support
24/7 live technical support included
< 15 minute
response time
