High performance inference.
Any model. Any hardware.
No compromise.
ZML simplifies model serving,
ensuring peak performance and maintainability in production.
Your NVIDIA GPUs,
your way.
Deploy your models on any hardware. ZML optimizes performance across all major accelerator platforms.

NVIDIA

AMD

Google TPU

AWS Trainium
AI Framework, batteries included
ZML primitives are reusable, self-contained, and modular. When combined, they compound to help you run faster.
Python-free
Production demands precision, not hacks. ZML is written without any Python code in the stack, it’s clean, robust, and built for production.
Very, very high-performance
Every line of code delivers—no overhead, just raw speed.
Highly expressive
Code that’s as easy to read as it is to trust.
Truly hardware agnostic with no compromise
Switch hardware with a single command, with no compromises.
Build once, run everywhere … delivered
Delightful experience, it just works!
Open-source
We are building the future of AI inference with you.
Scale your Inference stack
without compromising
Fastest Inference
Unmatched performance with the fastest LLM server—latency and throughput you can rely on.
Fastest to start
We deploy the smallest image sizes, so you can scale from zero to production in seconds, not minutes.
Easiest to use and deploy
Kubernetes ready made deployment, Sagemaker container, or bare metal package, deploy seamlessly on your infrastructure. Keep your usual tool, our API is OpenAI compatible.
Easiest to operate
Prometheus built-in stack for easy monitoring. Run with predictable, and flat latency, every time.
Lowest TCO
Spend reduced by multiples, and predictable.
No more vendor lock-in
Run your models anywhere—any cloud, multicloud, any hardware, without compromise. Be flexible, change at ease.